Griffith University

Scholarly books

1. Verma, B. and Blumenstein, M. (2008), Pattern Recognition Technologies and Applications: Recent Advances, IGI Global Press, USA. (453 pages).

2. Scholarly book chapters

3. *Lee, J.H., Guan, H., Blumenstein, M. and Loo, Y.C. (2011), Improving the Reliability of a Bridge Deterioration Model for a Decision Support System Using Artificial Intelligence, in T. Chan and D. Thambiratnam (Eds.), Australian Network on Structural Health Monitoring, Nova Science Publishers, 25p. (ISBN 978-1-61728-860-9).

4. Blumenstein, M., (2008), Cursive character segmentation using neural network techniques, in S. Marinai and H. Fujisawa (Eds.), Learning in Document Analysis and Recognition, Springer-Verlag, pp. 259-275.

5. Verma, B. and Blumenstein, M. (2008), Fusion of Segmentation Strategies for Off-line Cursive Handwriting Recognition, Pattern Recognition Technologies and Applications: Recent Advances, IGI Global, USA, pp. 1-16.

   Refereed journal articles

6. *Cha, D., Blumenstein, M., Zhang, H. and Jeng, D.-S. (2008), A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced Seabed Liquefaction Depth, in A. Abraham, C. Grosan and W. Pedrycz (Eds.), Engineering Evolutionary Intelligent Systems - Studies in Computational Intelligence, Springer-Verlag, Berlin, pp. 337-351.

7. *Cha, D., Zhang, H., Blumenstein, M. (2010), Prediction of maximum wave-induced liquefaction in porous seabed using multi-artificial neural network model, Ocean Engineering, (Accepted for Publication – available online 23/09/10).

8. *Cha, D.H., Zhang H., Blumenstein M. and Jeng, D.S., (2009), Accurate prediction of wave-induced seabed liquefaction at shallow depths using multi-artificial neural networks, Journal of Coastal Research, vol. SI 56, No.2, pp. 927-931.

9. *Joorabchi, A., Zhang H., and Blumenstein, M., (2009), Application of artificial neural networks to groundwater dynamics in coastal aquifers, Journal of Coastal Research, Vol. SI 56, No.2, pp. 966-970.

10. Leedham, G., Ma, Y. and Blumenstein, M., (2009), Handwritten Shorthand and its Future Potential for Fast Mobile Text Entry, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 23, No. 5, pp. 1031-1051.

11. Y. Chen, G. Leedham and Blumenstein, M (2008), “Independent Component Analysis to Separate Overlapping Handwritten Strokes in Degraded Document Images”, Pattern Recognition Letters, (Accepted for publication subject to minor revisions).

12. *Lee, J., Sanmugarasa, K., Blumenstein, M. and Loo, Y.C., (2008), Improving the Reliability of a Bridge Management Systems (BMS) using an ANN-induced Backward Prediction Model (BPM), Journal of Automation in Construction, Vol. 17, No. 6, pp. 758-772.

13. Blumenstein, M., Green, S., Fogelman, S., Nguyen, A. and Muthukkumarasamy, V., (2008), Performance Analysis of GAME: A Generic Automated Marking Environment, Computers and Education, Vol. 50, No. 4, pp. 1203-1216.

14. *Zhang, H., Jeng, D-S., Cha, D., and Blumenstein, M., (2007), Parametric study on the prediction of wave induced liquefaction using an artificial neural network model, Journal of Coastal Research, Special Issue 50, pp. 374-378.

15. *Joorabchi, A., Zhang, H. and Blumenstein, M., (2007), Application of artificial neural networks in flow discharge prediction for the Fitzroy River, Australia, Journal of Coastal Research, Special Issue 50, pp. 287-291.

16. *Browne, M., Castelle, B., Strauss, D., Tomlinson, R. Blumenstein, M. and Lane, C., (2007), Near-shore swell estimation from a global wind-wave model: spectral process, linear and artificial neural network models, Coastal Engineering, Vol. 54, No. 5, pp. 445-460.

17. Blumenstein, M., Liu X. Y. and Verma, B., (2007), An Investigation of the Modified Direction Feature for Cursive Character Recognition, Pattern Recognition, Vol. 40, No. 2, pp. 376-388.

18. *Green, S., Blumenstein, M., Browne M. and Tomlinson, R., (2006), The Detection of Persons in Cluttered Beach Scenes using Digital Video Imagery and Neural Network-based Classification, International Journal of Computational Intelligence and Applications, Vol. 6, No. 2, pp 149-160.

19. *Fogelman, S., Zhao, H. and Blumenstein, M., (2006), A Rapid Analytical Method for Predicting Oxygen Demand of Wastewaters", Analytical and Bioanalytical Chemistry, Vol. 386, No. 6, pp. 1773-1779.

20. *Browne, M., Strauss, D., Tomlinson R. and Blumenstein, M. (2006), Objective Beach State Classification from Optical Sensing of Cross-shore Dissipation Profiles, IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 11-Part 2, pp. 3418-3426.

21. *Browne, M., Strauss, D., Castelle, B., Blumenstein, M., Tomlinson R. and Lane, C. (2006), Empirical estimation of near-shore waves from a global deep-water wave model, IEEE Geoscience and Remote Sensing Letters, Vol. 3, No. 4, pp. 462-466.

22. *Fogelman, S., Blumenstein M., and Zhao, H. (2006), Estimation of Chemical Oxygen Demand by Ultraviolet Spectroscopic Profiling and Artificial Neural Networks, Neural Computing and Applications, Vol. 15, No. 3-4, pp. 197-203.

23. D-S. Jeng, D. Cha and M. Blumenstein, (2004), “Neural Network Model for the Prediction of Wave-Induced Liquefaction Potential”, Ocean Engineering, Elsevier, Vol. 31, No. 17-18, pp. 2073-2086

24. B. K. Verma, M. Blumenstein, and Ghosh, M. (2004), “A Novel Approach For Structural Feature Extraction: Contour vs. Direction”, Pattern Recognition Letters, Elsevier, Vol. 25, No. 9, pp. 975-988.

25. D. H. Cha, D.-S. Jeng and M. Blumenstein, (2004) “Assessment of wave-induced liquefaction in a porous seabed: application of an ANN model”, Asian Journal of Information Technology, Vol. 3, No. 5, pp 375-385.

26. B. Verma, M. Blumenstein and S. Kulkarni, (1999), “A New Compression Technique Using an Artificial Neural Network”, Journal of Intelligent Systems, Vol. 9, No. 1, pp. 39-53.

    Refereed conference papers published in full in the proceedings

27. M. Blumenstein and B. Verma, (1997), “A Segmentation Algorithm used in Conjunction with Artificial Neural Networks for the Recognition of Real-World Postal Addresses”, Journal of Intelligent Systems, Vol 7, No. 3-4, pp. 1-13.

28. *Son, J.B., Lee, J.H., Guan, H., Loo, Y.C. and Blumenstein, M. (2010), ANN-Based Structural Element Performance Model for Reliable Bridge Asset Management, Proceedings of the 21st Australasian Conference on the Mechanics of Structures and Materials (ACMSM21), Melbourne, Australia. pp. 775-780.

29. Tuxworth, G., Meedeniya, A. and Blumenstein, M. (2010), Segmentation of Inter-neurons in Three Dimensional Brain Imagery, in J. Blanc-Talon, D. Bone, W. Philips, D. C. Popescu and P. Scheunders (Eds.), Advanced Concepts for Intelligent Vision Systems - 12th International Conference, ACIVS 2010, Sydney, Australia, December 13-16, 2010, Proceedings, Part I, Lecture Notes in Computer Science 6474, pp. 145-152.

30. Nguyen, V., Kawazoe Y., Wakabayashi, T., Pal, U. and Blumenstein, M. (2010), Performance Analysis of the Gradient Feature and the Modified Direction Feature for Off-line Signature Verification. Proceedings of the International Conference on Frontiers in Handwriting Recognition, ICFHR 2010, Kolkata, India, 16-18 November, pp. 303-307.

31. El Abed, H., Märgner, V. and Blumenstein, M. (2010), International Conference on Frontiers in Handwriting Recognition (ICFHR 2010) - Competitions Overview, Proceedings of the International Conference on Frontiers in Handwriting Recognition, ICFHR 2010, Kolkata, India, 16-18 November, pp. 703-708.

32. Blumenstein, M., Ferrer, M. A., Bonilla, J. F. V. (2010), The 4NSigComp2010 Off-line Signature Verification Competition: Scenario 2, Proceedings of the International Conference on Frontiers in Handwriting Recognition, ICFHR 2010, Kolkata, India, 16-18 November, pp. 721-726.

33. *Lee, J.H., Son, J.B., Blumenstein, M., Guan, H., Panuwatwanich, K. and Loo, Y.C. (2010), Long-term Prediction of Bridge Element Performance Using Time Delay Neural Networks (TDNNs), Proceedings of the 34th IABSE Symposium: Management and Planning of Operation and Maintenance, Venice, Italy, September 22-24, CD-ROM Proceedings.

34. Nguyen, V. and Blumenstein, M. (2010), Techniques for static handwriting trajectory recovery: a survey, Proceedings of the 9th IAPR International Workshop on Document Analysis Systems, Cambridge, MA, USA, June 9-11, pp. 463-470.

35. *Lane, C., Gal, Y., Browne, M., Short, A., Strauss, D., Tomlinson, R., Jackson, K., Tan, C. and Blumenstein, M., (2010), A new system for breakzone location and the measurement of breaking wave heights and periods, Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, Honolulu, USA, pp. 2234-2236.

36. *Strauss, D., Tomlinson, R., Lane, C. and Blumenstein, M., (2009), Assessment of Coastal Hazards - CoastSAFE Alive Australia, Proceedings of the Queensland Coastal Conference 2009, SEQ Catchments Ltd, Brisbane, Australia.

37. Matloobi, R., Blumenstein, M. and Green, S., (2009), Extensions to Generic Automated Marking Environment: Game-2+, Proceedings of the Interactive Computer Aided Learning Conference (ICL 2009), Austria (CD-ROM Proceedings).

38. Thornton, J., Faichney, J., Blumenstein, M., Nguyen, V., Hine, T., (2009), Offline Cursive Character Recognition: A state of the art comparison, Advances in Graphonomics: Proceedings of IGS 2009, International Graphonomics Society, Dijon, France.

39. *Lee, J.H., Son, J.B., Guan, H., Blumenstein, M., and Loo, Y.C., (2009), Generating Complete Historical Condition Ratings Using a New Set of Non-Bridge Factors for Queensland Bridges in the Backward Prediction Model (BPM), 7th Austroads Bridge Conference, Auckland, New Zealand, May 26-29, 2009 (Paper#.S17-4).

40. *Son, J.B., Lee, J.H., Blumenstein, M., Loo, Y.C., Guan, H., and Panuwatwanich, K. (2009), Improving reliability of Bridge deterioration model using generated missing condition ratings, 3rd International Conference on Construction Engineering and Management (ICCEM), Jeju, S. Korea, CD-ROM Proceedings (Paper#S13-1).

41. *Son, J.B., Lee, J.H., Blumenstein, M., Loo, Y.C., Guan, H., and Panuwatwanich, K. (2009), Generating Historical Condition Ratings for the Reliable Prediction of Bridge Deteriorations, 33rd International Association for Bridge and Structural Engineering (IABSE) Symposium: Sustainable Infrastructure Environment Friendly, Safe and Resource Efficient, Bangkok, CD-ROM Proceedings (Paper # 273_04_01).

42. Nguyen, V., Blumenstein, M., Leedham, G., (2009). Global Features for the Off-Line Signature Verification Problem, Proceedings of the Tenth International Conference on Document Analysis and Recognition (ICDAR 2009), Barcelona, Spain, pp. 1300-1304.

43. *Fogelman, S., Blumenstein, M., Zhao, H., (2009), Development of a new analytical method for continuous on-line and in-situ monitoring in real world non-ideal environments, Proceedings of the 10th International Water Association (IWA) Conference on Instrumentation, Control and Automation (ICA 2009), Cairns, Australia, CD-ROM Proceedings.

44. Alavi, A., Cavanagh, B., Tuxworth, G., Meedeniya, A., Mackay-Sim, A. and Blumenstein, M., (2009), Automated classification of dopaminergic neurons in the rodent brain, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2009), Atlanta, USA, pp. 81-88.

45. Thornton, J., Faichney, J., Blumenstein, M. and Hine, T., (2008), Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling. In Wayne Wobcke, Mengjie Zhang (Eds.): AI 2008: Advances in Artificial Intelligence, 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, Proceedings. Lecture Notes in Computer Science, pp. 562-572.

46. *Lee, J. H., Le, K., Loo, Y. C., Blumenstein, M. and Guan, H. (2008), ANN-Based Bridge Condition Rating Models Using Limited Structural Inspection Records, International Conference on Transport Infrastructure (ICTI2008), Beijing, China, Paper #129 (Full paper – no page numbers available).

47. *Lee, J. H., Guan H., Blumenstein, M., Loo, Y. C. (2008), An ANN-Based Backward Prediction Model for Reliable Bridge Management System Implementations Using Limited Inspection Records-Case Studies, 17th Congress of IABSE: Creating and Renewing Urban Structures-Tall Buildings, Bridges and Infrastructure, International Association for Bridge and Structural Engineering (IABSE), Chicago, USA, CD-ROM Proceedings.

48. *Lee, J. H., Loo, Y. C., Guan H., and Blumenstein, M. (2007), An ANN-Based Back Prediction Model for Reliable Bridge Management System Implementations, The 10th Conference on Science and Technology, Ho Chi Minh City University of Technology (HCMUT), Vietnam, October, 2007, pp 98-105.

49. *Lee, J. H., Le, K., Blumenstein, M., and Loo, Y. C. (2007), Development of a Backward Prediction Model Based on Limited Historical Datasets. Fourth International Conference on Construction in the 21st Century (CITC-IV), Gold Coast, Australia, CD-ROM Proceedings, pp 641-648.

50. *Green, S. and Blumenstein, M. (2007), A Comparison of Neural-based Techniques Investigating Rotational Invariance for Upright People Detection in Low Resolution Imagery, Proceedings of the Twentieth Australian Joint Conference on Artificial Intelligence (AI '07), Gold Coast, Australia, pp. 647-653.

51. Nguyen, V., Blumenstein, M., Muthukkumarasamy, V., Leedham, G. (2007), Off-line Signature Verification Using Enhanced Modified Direction Features in Conjunction with Neural Classifiers and Support Vector Machines, Proceedings of the Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), Curitiba, Brazil, pp. 734-738.

52. Krumins, R. and Blumenstein, M. (2007), Physics-based Modelling of Growing Plant Leaves, Proceedings of the International Conference on Computer Graphics and Virtual Reality (CGVR'07), Las Vegas, Nevada, pp. 60-65.

53. Matloobi, R., Blumenstein, M. and Green, S. (2007), An Enhanced Generic Automated Marking Environment: GAME-2, Proceedings of the International Conference on Interactive Mobile and Computer-aided Learning, Amman, Jordan, CD-ROM Proceedings.

54. Martin, P., Eboueya, M., Blumenstein, M. and Deer, P. (2006), A Network of Semantically Structured Wikipedia to Bind Information, E-learn 2006, AACE Conference on E-learning in Corporate, Government, Healthcare, & Higher Education, Honolulu, Hawaii, pp. 1684-1702.

55. Thornton, J., Gustafsson, T., Blumenstein, M. and Hine, T. (2006), Robust Character Recognition using a Hierarchical Bayesian Network, 19th Joint Australian Conference on Artificial Intelligence (AI '06), pp. 1259-1264.

56. Armand, S., Blumenstein M. and Muthukkumarasamy, V. (2006), Off-line Signature Verification based on the Modified Direction Feature, Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), Hong Kong, pp. 509-512.

57. Armand, S., Blumenstein, M. and Muthukkumarasamy, V. (2006), Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, BC, Canada, pp. 1663-1670.

58. *Green S. and Blumenstein, M. (2006), An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classification, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, BC, Canada, pp. 4746-4751.

59. *Cha, D., Blumenstein, M., Zhang, H. and Jeng, D-S. (2006), Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefaction, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, BC, Canada, pp. 9327-9331.

60. *Islam, Md M., Mohamed, S. and Blumenstein, M. (2006), Towards an Optimal Financial Investment Decision in Build-Operate-Transfer Projects using Genetic Algorithms, Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montréal, Canada, pp. 1554-1563.

61. *Cha, D-H., Jeng, D-S., Blumenstein, M. and Zhang, H. (2006), Evaluation of Wave-induced Liquefaction in a Porous Seabed: Using an Artificial Neural Network and a Genetic Algorithm-based model, The Sixteenth International Offshore and Polar Engineering Conference, San Francisco, California, USA, pp. 302-308.

62. J.H. Lee, S. Kamalarasa, and M. Blumenstein, (2005), “An Artificial Neural Network Model for the Condition Rating of Bridges”, Proceedings of the 1st International Conference on Construction Engineering and Management (ICCEM 2005), Seoul, Korea, pp. 533-538.

63. J.H. Lee, S. Kamalarasa, K. N. Le, and Blumenstein, M. (2005), “Use of non-bridge element-level inspection data in the implementation of Bridge Management Systems (BMS)”, Proceedings of the Third International Structural Engineering and Construction Conference (ISEC-03), Shunan, Japan, pp. 705-712.

64. C. K. Cheng and M. Blumenstein, (2005), “The Neural-Based Segmentation of Cursive Words Using Enhanced Heuristics”, Proceedings of the Eighth International Conference on Document Analysis and Recognition, (ICDAR ’05), Seoul, Korea, pp. 650-654. [Tier A; Citations: 0]

65. S. Green, M. Blumenstein, M. Browne, R. Tomlinson, (2005), “The detection and quantification of persons in cluttered beach scenes using neural network-based classification”, Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA ’05), Las Vegas, USA, pp. 303-308. [Tier C; Citations: 1]

66. P. Martin, M. Blumenstein and P. Deer, (2005), “Towards cooperatively-built knowledge repositories”, Conceptual Structures: Common Semantics for Sharing Knowledge, Proceedings of the 13th International Conference on Conceptual Structures (ICCS 2005), Kassel, Germany, pp. 411-424. [Tier A; Citations: 0]

67. C. K. Cheng and M. Blumenstein, (2005), “Improving the Segmentation of Cursive Handwritten Words using Ligature Detection and Neural Validation”, Proceedings of the 4th Asia Pacific International Symposium on Information Technology (APIS 2005), Gold Coast, Australia, pp. 56-59. [Tier C; Citations: 1]

68. S. Green, M. Blumenstein, V. Muthukkumarasamy and J. Jo, (2005), “Investigation of a Classification-based Technique to Detect Illicit Objects for Aviation Security, The IASTED International Conference on Artificial Intelligence and Applications (AIA 2005), Innsbruck, Austria, pp. 825-830. [Tier C; Citations: 1]

69. M. Browne, M. Blumenstein, R. Tomlinson and D. Strauss, (2005), “An Intelligent System for Remote Monitoring and Prediction of Beach Safety”, The IASTED International Conference on Artificial Intelligence and Applications (AIA 2005), Innsbruck, Austria, pp. 533-538. [Tier C; Citations: 0]

70. D-S. Jeng, D. H. Cha and M. Blumenstein, (2005), “Neural Network Model for Liquefaction Potential Due to Ocean Waves”, Proceedings of the 18th Australasian Conference on the Mechanics of Structures and Materials (ACMSM-18), Perth, Australia, pp. 1025-1030.

71. C. K. Cheng, X. Y. Liu, M. Blumenstein and V. Muthukkumarasamy, (2004), Enhancing Neural Confidence-Based Segmentation For Cursive Handwriting Recognition, 5th International Conference on Simulated Evolution And Learning (SEAL ‘04), Busan, Korea, SWA-8, CD-ROM Proceedings. [Tier Unavailable; Citations: 3]

72. V. Muthukkumarasamy, M. Blumenstein, J. Jo and S. Green, (2004), Intelligent Illicit Object Detection System For Enhanced Aviation Security, 5th International Conference on Simulated Evolution And Learning (SEAL ‘04), Busan, Korea, SFA-1, CD-ROM Proceedings. [Tier C; Citations: 0]

73. X. Y. Liu and M. Blumenstein, (2004), Experimental Analysis of the Modified Direction Feature for Cursive Character Recognition, International Workshop on the Frontiers of Handwriting Recognition (IWFHR-9), Japan, pp. 353-358. [Tier Unavailable; Citations: 7]

74. M. Blumenstein, X. Y Liu, and B. Verma, (2004), A Modified Direction Feature for Cursive Character Recognition, International Joint Conference on Neural Networks (IJCNN ’04), Budapest, Hungary, pp. 2983-2987. [Tier A; Citations: 15]

75. M. Blumenstein, S. Green, A. Nguyen, V. Muthukkumarasamy, (2004), An Experimental Analysis of GAME: A Generic Automated Marking Environment, 9th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE '04), Leeds, UK, pp. 67-71. [Tier Unavailable; Citations: 9]

76. M. Blumenstein, S. Green, A. Nguyen, V. Muthukkumarasamy, (2004), “GAME: A Generic Automated Marking Environment for Programming Assessment”, International Conference on Information Technology: Coding and Computing (ITCC '04), Las Vegas, USA, pp. 212-216. [Tier Unavailable; Citations: 7]

77. M. Blumenstein, (2004), “Experience in Teaching Object-Oriented Concepts to First Year Students with Diverse Backgrounds”, International Conference on Information Technology: Coding and Computing (ITCC '04), Las Vegas, USA, pp. 704-708. [Tier Unavailable; Citations: 2]

78. M. Blumenstein, B. Verma, and H. Basli, (2003), “A novel feature extraction technique for the recognition of segmented handwritten characters”, Proceedings of the Seventh International Conference on Document Analysis and Recognition, (ICDAR ’03), Edinburgh, Scotland, pp. 137-141. [Tier A; Citations: 10]

79. Y. Tao, V. Muthukkumarasamy, B. Verma, and M. Blumenstein, (2003), “A texture feature extraction technique using 2D–DFT and hamming distance”, Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA ’03), Xian, China, pp. 120-125. [Tier C; Citations: 8]

80. S. K. Deshpande, M. Blumenstein and B. Verma, (2003), “Fuzzy-heuristic robot navigation in a simulated environment, Proceedings of the International Conference on Computational Intelligence and Autonomous Systems (CIRAS '03), Singapore, CD Proceedings, ISSN:0219-613. [Tier Unavailable; Citations: 0]

81. M. Blumenstein, (2002), “Strategies for Improving a Java-based, First Year Programming Course”, International Conference on Computer Education, (ICCE '02), Palmerston North, New Zealand, pp. 1095-1099. [Tier Unavailable; Citations: 3]

82. M. Blumenstein, C. K. Chen and X. Liu, (2002), “New Preprocessing Techniques for Handwritten Word Recognition”, 2nd International Conference on Visualisation, Imaging and Image Processing, (VIIP '02), Malaga, Spain, pp. 480-484. [Tier Unavailable; Citations: 5]

83. M. Blumenstein, and B. Verma, (2001), “Analysis of Segmentation Performance on the CEDAR Benchmark Database”, in Proceedings of the Sixth International Conference on Document Analysis and Recognition, (ICDAR ’01), Seattle, USA, pp. 1142-1146. [Tier A; Citations: 9]

84. M. Blumenstein, and B. Verma, (1999), “Neural Solutions for the Segmentation and Recognition of Difficult Words from a Benchmark Database”, in Proceedings of the Fifth International Conference on Document Analysis and Recognition, (ICDAR ’99), Bangalore, India, pp. 281-284. [Tier A; Citations: 15]

85. M. Blumenstein, and B. Verma, 1998, “Conventional Vs. Neuro-Conventional Segmentation Techniques for Handwriting Recognition: A Comparison”, in Proceedings of the Second IEEE International Conference on Intelligent Processing Systems (ICIPS ’98), Gold Coast, Australia, pp. 473-477. [Tier C; Citations: 0]

86. M. Blumenstein, and B. Verma, (1998) “A Neural Based Segmentation and Recognition Technique for Handwritten Words”, in Proceedings of the World Congress on Computational Intelligence (WCCI '98), Anchorage, Alaska, pp. 1738-1742. [Tier A; Citations: 13]

87. M. Blumenstein, and B. Verma, (1998), “An Artificial Neural Network Based Segmentation Algorithm For Off-line Handwriting Recognition”, in Proceedings of the Second International Conference on Computational Intelligence and Multimedia Applications, (ICCIMA ’98), Gippsland, Australia, pp. 306-311. [Tier C; Citations: 0]

88. B. Verma, M. Blumenstein, and S. Kulkarni, (1998, “Recent Achievements in Off-line Handwriting Recognition Systems”, in Proceedings of the Second International Conference on Computational Intelligence and Multimedia Applications, (ICCIMA '98), Gippsland, Australia, pp. 27-33. [Tier C; Citations: 9]

89. M. Blumenstein, and B. Verma, (1998), “A Neural Network for Real-World Postal Address Recognition”, in Soft Computing in Engineering Design and Manufacturing, Eds. P.K. Chawdhry, R. Roy and R.K. Pant, Springer-Verlag, London, U.K., pp 79-83. [Tier Unavailable; Citations: 10]

90. S. Kulkarni, B. Verma, and M. Blumenstein, (1997), “Image Compression using a Direct Solution Method based Neural Network”, in Proceedings of the Tenth Australian Joint Conference on Artificial Intelligence, Perth, Australia, pp. 114-119. [Tier B; Citations: 4]

91. B. Verma, M. Blumenstein, and S. Kulkarni, (1997), “A Neural Network Based Technique for Data Compression”, in Proceedings of the IASTED International Conference on Modelling and Simulation, (MSO '97), Singapore, pp. 12-16. [Tier C; Citations: 2]

    Full-Written Paper Conference Publications (Invited/Non-Refereed)

    Invited Journal/Magazine Articles

92. B. Verma, M. Blumenstein, (1996), “An Intelligent Neural System for a Robot to Recognize Printed and Handwritten Postal Addresses”, in Proceedings of Fourth IASTED International Conference on Robotics and Manufacturing, (IASTED RM'96), Hawaii, USA, pp. 80-84. [Tier C; Citations: 0]

93. R. Matloobi, M. Blumenstein, and S. Green, (2007), “An Enhanced Generic Automated Marking Environment: GAME-2”, IEEE Multidisciplinary Engineering Education Magazine, Vol. 2, No. 2, pp. 55-60.

    Conference Publications

94. S. Armand, M. Blumenstein, V. Muthukkumarasamy, (2007), “Off-line Signature Verification Using an Enhanced Modified Direction Feature with Single and Multi-classifier Approaches”, IEEE Computational Intelligence Magazine, Vol. 2, No. 2, pp. 18-25. [Impact Factor: 1.286]

95. D.-S. Jeng, D. H. Cha and M. Blumenstein, (2003), “Application of artificial neural network in civil engineering problems”, The International Internet-Processing-Systems-Interdisciplinaries (IPSI-2003) Conference, Seveti-Stefan, Montenegro, October 5-11, 2003.

96. #M. Blumenstein, and B. Verma, (1999), “A New Segmentation Algorithm for Handwritten Word Recognition”, in Proceedings of the International Joint Conference on Neural Networks, (IJCNN ’99), Washington D.C., U. S. A., pp. 878-882. [Tier A; Citations: 14]