计算机工程2011，Vol.37Issue(8)：186-188,191,4.DOI:10.3969/j.issn.1000-3428.2011.08.064
哈萨克文脱机手写字符识别系统的研究与实现
Study and Implementation of Kazakh Off-line Handwritten Character Recognition System
摘要
Abstract
Owing to the special structure of handwritten Kazakh characters, just using several simple features to recognize Kazakh characters encounter the problems of low recognition rate and poor recognition effects. This paper determines the word baseline by using improved PCA method, extracts 36 features for each character and the K-W checking is used to compare the classification ability of each feature. It uses the linear discriminant function to classify the characters and acquires a higher recognition rate. Experimental result shows that to off-line handwritten character the recognition accuracy achieves 94％.关键词
哈萨克字符/改进的PCA方法/字符特征/K-W检验/线性判别函数Key words
Kazakh character/ improved PCA method/ character feature/ K-W checking/ linear discriminant function分类
信息技术与安全科学引用本文复制引用
达吾勒·阿布都哈依尔,海拉提·克孜尔别克..哈萨克文脱机手写字符识别系统的研究与实现[J].计算机工程,2011,37(8):186-188,191,4.基金项目
国家自然科学基金资助项目(60763005) （60763005）
新疆大学自然科学基金资助项目(XY080125) （XY080125）
