基于弹性网格模糊特征的手写体汉字识别方法

A Feature Extracting Method for Handwritten Chinese Character Recognition Based on Elastic Mesh and Fuzzy Feature of Block

网格方向特征在手写体汉字识别系统中得到广泛应用,被认为是目前较成熟的手写体汉字特征之一。网格技术是网格方向特征的关键技术之一。根据汉字笔画分布特点及拓扑结构的相关性,提出了一种新的基于弹性网格及其相关模糊特征的提取方法。该方法使特征向量的信息量增加,特征更加稳定。对银行支票图像大写金额的识别率达到97.64%,实验结果证明本文方法比其他网格方向特征更有效。

The directional feature is considered suitable for handwriten chinese character recognition,and it has been widely used as one of the main feature extraction method. Meshing method is one of the key factors of meshing direction feature. According to stroke distributing characterisitic and topologic correlation of chinese characters,we present a new method based on elastic mesh and related fuzzy feature. A more stable feature vector with more information is extracted. The experiment based on the handwritten legal amount on Chinese bank check shows that the method is more effective than other meshing direction features,and recognition rate has been up to 97.64%.