基于多分类器集成的手写体金融汉字识别  

Off-line handwritten amount Chinese characters recognition based on multiple classifiers combination

作　　者：喻莹[1,2] 杨扬[1] 董才林[3] 何秀玲[1,4] 陈增照[1,4] 

机构地区：[1]北京科技大学信息工程学院 [2]华中师范大学计算机科学系,武汉430079 [3]华中师范大学最优控制与离散数学重点实验室 [4]华中师范大学最优控制与离散数学重点实验室,武汉430079

出　　处：《计算机工程与应用》2007年第15期212-214,共3页Computer Engineering and Applications

基　　金：湖北省科技公关计划(the Key Technologies R&D Program of Hubei Province of China under Grant No.2003BDST004) 。

摘　　要：用基于遗传算法的全局优化技术动态地选择一组分类器,并根据应用的背景,采用合适的集成规则进行集成,从而综合了不同分类器的优势和互补性,提高了分类性能。实验结果表明,通过将遗传算法引入到多分类器集成系统的设计过程,其分类性能明显优于传统的单分类器的分类方法。We introduce a system that incorporates a global optimization technique based on a genetic algorithm for dynamically selecting the set of classifiers and combination rules to use in the multiple classifiers combination method so as to integrate different classifiers＇ superiority and complementarities and improve the classification performance.To this end we test the proposed system on amount Chinese character recognition and investigate the performance of our system in comparison to a number of alternative combination strategies,the results indicate that significant gains can be obtained by integrating genetic algorithm into the multiple classifier systems.

关 键 词：多分类器集成 遗传算法 金融汉字 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]