Handwritten word recognition using conditional random fields

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2, Issue , 2007, Pages 1098-1102

  Shetty, Shravya ^a   Srinivasan, Harish ^a   Srihari, Sargur ^a  

^a State University of New York

Author keywords

[No Author keywords available]

Indexed keywords

DOCUMENT ANALYSIS; WORD IMAGES; WORD RECOGNITION;

BOOLEAN FUNCTIONS; CHARACTER RECOGNITION; COMPUTER NETWORKS; CONTENT BASED RETRIEVAL; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; LABELING; MARKOV PROCESSES; MATHEMATICAL PROGRAMMING; NEURAL NETWORKS; PROBABILITY; RANDOM PROCESSES; RISK ASSESSMENT; SYSTEMS ENGINEERING; VOCABULARY CONTROL;

HIDDEN MARKOV MODELS;

EID: 51149098977     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2007.4377085     Document Type: Conference Paper

References (6)

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2. S. Feng, R. Manmatha, and A. McCallum, "Exploring the use of conditional random field models and hmms for historical handwritten document recognition," Second International Conference on Document Image Analysis for Libraries(DIAL), 2006.
3. S. Kumar and M. Hebert, "Discriminative fields for modeling spatial dependencies in natural images," Advances in Neural information processing systems(NIPS-2003), 2003.
4. H. Wallach, "Efficient training of conditional random fields," Proc. 6th Annual CLUK Research Colloquium, 2002.
5. M. Arivazhagan, H. Srinivasan, and S. Srihari, "A statistical approach to line segmentation in handwritten documents," To apper in proceedings of Document Recognition and Retrieval XIV SPIE, 2007.
6. G. Kim and V. Govindaraju, "A lexicon driven approach to handwritten word recognition for real-time applications," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. Vol. 19(4), pp. pp. 366.379, April 1997.