An Off-Line Cursive Handwriting Recognition System
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Pattern Recognition Letters
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ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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This paper presents a system for the offline recognitionof cursive handwritten lines of text. The system is based oncontinuous density HMMs and Statistical Language Models.The system recognizes data produced by a single writer.No a-priori knowledge is used about the content of the textto be recognized. Changes in the experimental setup withrespect to the recognition of single words are highlighted.The results show a recognition rate of ~85% with a lexiconcontaining 50'000 words. The experiments were performedover a publicly available database.