Large Vocabulary Recognition of On-Line Handwritten Cursive Words
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Communications of the ACM
An Efficient Algorithm for Matching a Lexicon with a Segmentation Graph
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
On-Line Adaptation in Recognition of Handwritten Alphanumeric Characters
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Efficient Best-First Dictionary Search Given Graph-Based Input
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
A Saliency-Based Multiscale Method for On-Line Cursive Handwriting Shape Description
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
On-line Arabic handwriting recognition with templates
Pattern Recognition
Handwriting Recognition Algorithm in Different Languages: Survey
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
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One of the difficulties involved in providing commercially acceptable cursive script recognition solutions has been that the training of most systems have been greatly dependent upon dictionaries. In this paper we present a new technique for dictionary interaction in on-line cursive script recognition. It retrieves all possible paths through a segmentation graph, that correspond to words in a dictionary, in a very efficient way. Furthermore we present new ideas of how to treat secondary strokes in the on-line segmentation graph. The novel system has been tested on large data with very competitive results.