安庆师范学院学报（自然科学版）Issue(1)：42-47,6.
一种不确定性二叉树 SVM 的脱机手写体汉字识别研究
Studying on the Off -line Handwritten Chinese Characters Recognition Based on Uncertainty Binary Tree SVM
摘要
Abstract
By adopting the classification and recognition method, a multi -class classifier based on SVM model is established due to the characteristics of handwritten Chinese character, such as the complexity of characteristics and diversity of category.The design method with fault -tolerant rate can reduce number of support vector machine, improve the recognition speed, simplify bi-nary tree model, quickly identify and remove the extra minor under the condition of the accuracy of the identification .The experi-mental results show that the multi -class classifier based on uncertainty binary tree SVM can reduce the rejection rate and leakage identification rate effectively to ensure the recognition accuracy and improve the recognition speed .关键词
脱机手写体汉字/不确定性二叉树/支持向量机Key words
Off -line Handwritten Chinese characters/binary tree/support vector machine/dynamic algorithm分类
计算机与自动化引用本文复制引用
范程华,徐小丽,蒋先伟,鲁世斌..一种不确定性二叉树 SVM 的脱机手写体汉字识别研究[J].安庆师范学院学报（自然科学版）,2013,(1):42-47,6.基金项目
安徽省高校省级优秀青年人才基金项目(2011SQRL130),合肥师范学院重点科研基地项目(2012jd14)资助 （2011SQRL130）
