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基于HMM方法的银行票据自动识别
引用本文:王贵新,汪同庆,宛西原,刘建胜,李建平,居琰.基于HMM方法的银行票据自动识别[J].计算机研究与发展,2003,40(4):544-549.
作者姓名:王贵新  汪同庆  宛西原  刘建胜  李建平  居琰
作者单位:1. 重庆后勤工程学院基础部,重庆,400042;重庆大学光电学院,重庆,400011
2. 重庆大学光电学院,重庆,400011
3. 重庆后勤工程学院基础部,重庆,400042
基金项目:国家自然科学基金 (6990 3 0 12 )
摘    要:利用隐态马尔可夫模型(HMMs),对银行票据中金额的大小写数据识别问题进行了研究.主要内容包括建立新颖的文字分刻算法;设计HMM训练和识别算法.在HMM系统中,将使用频率比较高的手写体错别字和同音字作为不同的字符类来处理;同时在HMM的训练过程中,提出了平滑参数的新方法.实验结果表明,该方法在实践中是可行的,在银行票据自动识别中有很好的应用前景.

关 键 词:汉字识别  数字识别  HMM方法  银行票据  自动识别  文字分刻算法  大小写数据识别

Bank Bill Automation Recognition Based on HMMs Method
WANG Gui Xin ,WANG Tong Qing ,WAN Xi Yuan ,LIU Jian Sheng ,LI Jian Ping ,and JU Yan.Bank Bill Automation Recognition Based on HMMs Method[J].Journal of Computer Research and Development,2003,40(4):544-549.
Authors:WANG Gui Xin    WANG Tong Qing  WAN Xi Yuan  LIU Jian Sheng  LI Jian Ping  and JU Yan
Affiliation:WANG Gui Xin 1,2,WANG Tong Qing 2,WAN Xi Yuan 1,LIU Jian Sheng 2,LI Jian Ping 1,and JU Yan 2 1
Abstract:By making use of hidden Markov models(HMMs), the recognition of uppercase and lowercase characters of bank bills is studied This includes forming the novel character segmentation algorithm and designing algorithms of HMM training and recognising In this HMM system some mistakenly handrwitten and homophonous characters used frequently also are regarded as different classes Meantime a method of smoothing HMM parameters is put forward in its training Experimental results show that this method is practicable and good application future for automatic bank bill recognition
Keywords:recognition  hidden Markov model (HMM)  bank  automation
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