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Automatic recognition of handwritten numerical strings: a recognition and verification strategy

机译:手写数字字符串的自动识别:一种识别和验证策略

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摘要

A modular system to recognize handwritten numerical strings is proposed. It uses a segmentation-based recognition approach and a recognition and verification strategy. The approach combines the outputs from different levels such as segmentation, recognition, and postprocessing in a probabilistic model. A new verification scheme which contains two verifiers to deal with the problems of oversegmentation and undersegmentation is presented. A new feature set is also introduced to feed the oversegmentation verifier. A postprocessor based on a deterministic automaton is used and the global decision module makes an accept/reject decision. Finally, experimental results on two databases are presented: numerical amounts on Brazilian bank checks and NIST SD19. The latter aims at validating the concept of modular system and showing the robustness of the system using a well-known database.
机译:提出了一种识别手写数字字符串的模块化系统。它使用基于细分的识别方法以及识别和验证策略。该方法在概率模型中组合了来自不同级别的输出,例如分段,识别和后处理。提出了一种新的验证方案,该方案包含两个验证程序来处理过度分段和分段不足的问题。还引入了一个新的功能集,以供过度细分验证程序使用。使用基于确定性自动机的后处理器,全局决策模块做出接受/拒绝决策。最后,给出了两个数据库的实验结果:巴西银行支票上的数值和NIST SD19。后者旨在验证模块化系统的概念,并使用众所周知的数据库显示系统的稳定性。

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