A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
The holistic paradigm in handwritten word recognition and its application to large and dynamic lexicon scenarios
Chaincode Contour Processing for Handwritten Word Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour-based Image Preprocessing for Holistic Handwritten Word Recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Serial classifier combination for handwritten word recognition
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Symbolic/neural recognition of cursive amounts on bank cheques
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
IEEE Transactions on Pattern Analysis and Machine Intelligence
Top-Down Likelihood Word Image Generation Model for Holistic Word Recognition
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Architecture for Classifier Combination Using Entropy Measures
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Robust Line Detection in Historical Church Registers
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Recognition and Verification of Unconstrained Handwritten Words
IEEE Transactions on Pattern Analysis and Machine Intelligence
Holistic cursive word recognition based on perceptual features
Pattern Recognition Letters
Offline handwritten character recognition of Gujrati script using pattern matching
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
Serial multiple classifier systems exploiting a coarse to fine output coding
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Off-line cursive script recognition: current advances, comparisons and remaining problems
Artificial Intelligence Review
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In this paper, we describe a system for rapid verification of unconstrained off-line handwritten phrases using perceptual holistic features of the handwritten phrase image. The system is used to verify handwritten street names automatically extracted from live U.S. mail against recognition results of analytical classifiers. Presented with a binary image of a street name and an ASCII street name, holistic features (reference lines, large gaps and local contour extrema) of the street name hypothesis are 驴predicted驴 from the expected features of the constituent characters using heuristic rules. A dynamic programming algorithm is used to match the predicted features with the extracted image features. Classes of holistic features are matched sequentially in increasing order of cost, allowing an ACCEPT/REJECT decision to be arrived at in a time-efficient manner. The system rejects errors with 98 percent accuracy at the 30 percent accept level, while consuming approximately 20/msec per image on the average on a 150 MHz SPARC 10.