Symbolic/neural recognition of cursive amounts on bank cheques

Jean-Pierre Dodel, R. Shinghal
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引用次数: 17

Abstract

A symbolic/neural approach to recognize unconstrained handwritten cursive amounts in bank cheques is proposed. Features like ascenders and descenders are extracted from the binary image of the amount. Depending on the features extracted, some words are recognized entirely symbolically, some words entirely neurally, and the remaining both symbolically and neurally. Results of preliminary experiments are provided.
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银行支票上草书金额的符号/神经识别
提出了一种识别银行支票中无约束手写草书金额的符号/神经方法。从金额的二值图像中提取上升、下降等特征。根据提取的特征,有些词完全是符号识别,有些词完全是神经识别,其余的词既是符号识别又是神经识别。给出了初步实验结果。
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