一种手写体大写金额串的分割新方法  

A Novel Segmentation Method of Handwritten Chinese Amount Strings

作　　者：陈强[1] 吕俊洋[1] 夏德深[1] 

机构地区：[1]南京理工大学计算机系,江苏南京210094

出　　处：《中文信息学报》2004年第3期66-72,共7页Journal of Chinese Information Processing

摘　　要：手写体大写金额串的分割将直接影响识别的准确率。为了提高分割的准确率 ,同时保证较快的分割速度 ,本文采用了由粗分割和细分割组成的两步分割方法。重点介绍交叉字符和相连字符的分割方法。对于交叉的字符提出了加窗处理的中点连线分割方法 ,它较其它方法具有简单准确的优点 ;对于单笔相连的字符 ,先在细化字符图象上找到候选笔划的候选分割点 ,然后用本文提出的简明的评价准则来确定最优分割点 ,提高了粗分割的精度。上述方法应用于银行支票手写体大写金额的分割 ,取得了很好的分割效果。The segmentation of handwritten Chinese amount strings has direct influence of the accurate rate of the recognition. In this paper, a two-stage approach consisting of coarse and fine segmentation is adopted. It can increase the accuracy of the segmentation and has good segmentation speed. For the characters, whose vertical projections combine together, but they don't connected themselves, we confine them in a window and segment them with a curve line which is acquired by connecting all the middle points in sequence, and this method is simpler and more accurate than other methods. For the characters connected only by one stroke, firstly we find the candidate segmentation points on the candidate stroke in the image of the thinned character, and then determine the best point evaluated by the concise principles which are presented in this paper, which increase the accuracy of the coarse segmentation. The method mentioned above has been applied to the segmentation of Chinese bank check amounts and get good results.

关 键 词：人工智能 模式识别 手写体大写金额串 字符分割 最优分割路径 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]