Combination of multiple classifiers for handwritten word recognition

Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR

Volumn , Issue , 2002, Pages 117-122

  Wang, Wenwei ^a   Brakensiek, Anja ^a   Rigoll, Gerhard ^b  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATION APPROACHES; COMBINATION OF MULTIPLE CLASSIFIERS; HANDWRITTEN WORD RECOGNITION; INDIVIDUAL CLASSIFIERS; MULTIPLE CLASSIFIERS; RECOGNITION ACCURACY; RELATIVE ERROR RATES; VOCABULARY RECOGNITION;

FACE RECOGNITION; OBJECT RECOGNITION;

CHARACTER RECOGNITION;

EID: 4544272293     PISSN: 15505235     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWFHR.2002.1030896     Document Type: Conference Paper

References (13)

1. K. Al-Ghoneim and B. V. K. V. Kumar. Unified decision combination framework. Pattern Recognition, 31(12):2077-2089, 1998.
2. A. Brakensiek, A. Kosmala, D. Willett, W. Wang, and G. Rigoll. Performance Evaluation of a New Hybrid Modeling Technique for Handwriting Recognition Using Identical On-Line and Off-Line Data. In Proc. International Conference on Document Analysis and Recognition (ICDAR), pages 446-449, Bangalore, India, 1999.
3. J. Fiscus. A Post-Processing System to Yield Reduced Error Word Rates: Recognizer Output Voting Error Reduction (ROVER). In Proc. IEEE Workshop on Automatic Speech Recognition and Understanding, pages 347-354, ?, ?, 1997.
4. T. Ho, J. Hull, and S. Srihari. Decision combination in multiple classifier systems. IEEE Trans. Pattern Analysis and Machine Intelligence, 16(1):66-75, 1994.
5. Y. Huang and C. Suen. A method of combining multiple experts for the recognition of unconstrained handwritten numerals. IEEE Trans. Pattern Analysis and Machine Intelligence, 17(1):90-94, 1995.
6. J. Kittler, M. Hatef, R. Duin, and J. Matas. On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 20(3):226-239, Mar. 1998.
7. L. Lam, Y-S. Huang, and C. Suen. Combination of Multiple Classifier Decisions for Optical Character Recognition. In H. Bunke and P. Wang, editors, Handbook of Character Recognition and Document Image Analysis, pages 79-101. World Scientific Publishing Company, 1997.
8. X. Lin, X. Ding, M. Chen, R. Zhang, and Y. Wu. Adaptive Confidence Transform Based Classifier Combination for Chinese Character Recognition. Pattern Recognition Letters, 19(10):975-988, 1998.
9. M.D.Garris, J.L.Blue, G.T.Candela, P.J.Grother, S.A.Janet, and C.L.Wilson. NIST Form-Based Handprint Recognition System (Release 2.0). Technical report, NIST Internal Report 5959 and CD-ROM, January 1997.
10. W.Wang, A. Brakensiek, A. Kosmala, and G. Rigoll. HMM based High Accuracy Off-line Cursive Handwriting Recognition by a Baseline Detection Error Tolerant Feature Extraction Approach. In Proceedings International Workshop on Frontiers in Handwriting Recognition (IWFHR), pages 209-218, Amsterdam, Netherlands, 2000.
11. X. Wang, V. Govindaraju, and S. Srihari. Multi-experts for Touching Digit String Recognition. In Proc. International Conference on Document Analysis and Recognition (ICDAR), pages 800-803, Bangalore, India, 1999.
12. L. Xu, A. Krzyzak, and C. Suen. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. Syst. Man Cybern., 22(3):418-435, 1992.
13. X. Ye, M. Cheriet, and C. Y. Suen. A Framework of Combining Numeric String Recognizers. In Proc. International Conference on Document Analysis and Recognition (ICDAR), pages 716-720, Seattle, USA, 2001