Automatic Segmentation and Recognition System for Handwritten Dates on Canadian Bank Cheques
نویسندگان
چکیده
This paper describes a system being developed to recognize date information handwritten on Canadian bank cheques. A segmentation based strategy is adopted in this system. In order to achieve high performances in terms of efficiency and reliability, a knowledge-based module is proposed for the date segmentation and a cursive month word recognition module is implemented based on a combination of classifiers. The interaction between the segmentation and recognition stages is properly established by using multihypotheses generation and evaluation modules. As a result, promising performance is obtained on a test set from a reallife standard cheque database.
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