An HMM-based approach for off-line unconstrained handwritten word modeling and recognition
نویسندگان
چکیده
منابع مشابه
An HMM-Based Approach for Off-Line Unconstrained Handwritten Word Modeling and Recognition
ÐThis paper describes a hidden Markov model-based approach designed to recognize off-line unconstrained handwritten words for large vocabularies. After preprocessing, a word image is segmented into letters or pseudoletters and represented by two feature sequences of equal length, each consisting of an alternating sequence of shape-symbols and segmentationsymbols, which are both explicitly model...
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In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...
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This paper addresses the problem of recognizing on-line sampled handwritten symbols. Within the proposed symbol recognition system based on Hidden Markov Models different kinds of feature extraction algorithms are used analysing on-line features as well as off-line features and combining the classification results. By conducting writer-dependent recognition experiments, it is demonstrated that ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 1999
ISSN: 0162-8828
DOI: 10.1109/34.784288