改进的Gabor滤波算法在指纹识别中的应用研究
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  • 英文篇名:Application of Improved Gabor Filter Algorithm in Fingerprint Recognition
  • 作者:张俊冯
  • 英文作者:ZHANG Junfeng;China UnionPay Co.,Ltd.;
  • 关键词:Gabor滤波算法 ; 归一化处理 ; 指纹识别
  • 英文关键词:Gabor filtering algorithm;;normalization processing;;fingerprint recognition
  • 中文刊名:XDXK
  • 英文刊名:Modern Information Technology
  • 机构:中国银联股份有限公司;
  • 出版日期:2019-01-10
  • 出版单位:现代信息科技
  • 年:2019
  • 期:v.3
  • 语种:中文;
  • 页:XDXK201901033
  • 页数:3
  • CN:01
  • ISSN:44-1736/TN
  • 分类号:99-100+102
摘要
指纹识别是身份识别的重要手段之一,指纹识别技术也是生物识别领域中使用最为广泛的一项技术。为进一步提高指纹识别系统的速度和稳定性,可在指纹识别中对改进的Gabor滤波算法进行应用。基于此点,本文从指纹识别的原理分析入手,详细论述了指纹识别中改进Gabor滤波算法的应用。期望通过本文的研究能够对指纹识别准确率的提升有所帮助。
        Fingerprint identification is one of the most important methods of identification,and it is also the most widely used technology in the field of biometrics. In order to further improve the speed and stability of fingerprint identification system,the improved Gabor filtering algorithm can be applied. Based on this point,this paper starts with the analysis of the principle of fingerprint identification,and discusses the application of improved Gabor filter algorithm in fingerprint identification in detail. It is hoped that this study will be helpful to improve the accuracy of fingerprint identification.
引文
[1]Gottschlich,Carsten.Curved-region-based ridge frequency estimation and curved gabor filters for fingerprint image enhancement[J].IEEE Transactions on Image Processing,2012,21(4):2220-2227.
    [2]梅园,赵波,朱之丹.基于直线曲线混合Gabor滤波器的指纹增强算法[J].计算机科学,2016,43(S1):149-151+155.
    [3]BAHAGHIGHAT MK,MOHAMMADI J,AKBARI R.Fingerprint image enhancement using GWT and DMF[C]//Signal Processing Systems(ICSPS),2010 2nd)International Conference on.S.l.:s.n.,2010:1-253.
    [4]杜媛.基于二维Gabor滤波与机器视觉的字符图像识别算法[J].计算机与数字工程,2017,45(12):2519-2523.
    [5]Rajkumar R,Hemachandran K.A Review on Image enhancement of fingerprint using Directional filters[J].Assam University Journal of Science&Technology,2011,7(2):52-57.
    [6]吴帅.基于Gabor滤波器的伸长局部二值模式算法在视频人脸识别系统中的应用研究[D].昆明:昆明理工大学,2016.

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