Offline Chinese Signature Identification Based on 2-Pass System
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    Abstract:

    In this paper, an offline Chinese signature identification system based on a two stages classifier is built. It adopted pseudo feature and shape feature extraction. The emphasis of shape feature is the pseudo-Zernike moment with rotation, scale and translation invariance and anti-noise character. The pseudo dynamic features high gray feature (HPF), framework aspect gray feature, and gray barycenter feature. It has been proved that the identification of 2-pass system can save a lot of time for identification except in improving the recognition rate.

    Reference
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    2 Dolfing J, et al. On-line signature identification with hidden markov models. Proc. on Pattern Recognition (ICPR), 2003,2:1309-1312.
    3 侯海燕.脱机中文签名鉴定技术的研究[硕士学位论文].济南:山东大学, 2007.
    4 柯晶,乔谊正,赵宏.离线中文系统.计算机系统应用, 1999,8(2):7-10.
    5 候卫萍.基于频域分析法的离线手写签名纹理特征提取和验证[硕士学位论文].哈尔滨:哈尔滨工程大学, 2005.
    6 程析,侯义斌.基于模糊模式识别的离线签名鉴别技术.计算机工程与应用,2001,13:79-80.
    7 谢兆龙.脱机中文签名自动系统[硕士学位论文].济南:山东工业大学,1997.
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王春梅.基于二阶系统的脱机中文签名鉴定.计算机系统应用,2010,19(1):95-98

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  • Received:August 03,2009
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