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计算机技术2019年1期

改进的Gabor 滤波算法在指纹识别中的应用研究
张俊冯
(中国银联股份有限公司,上海 200135)

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。


关键词:Gabor 滤波算法;归一化处理;指纹识别



中图分类号:TP391.41        文献标识码:A        文章编号:2096-4706(2019)01-0091-03


Application of Improved Gabor Filter Algorithm in Fingerprint Recognition

ZHANG Junfeng

(China UnionPay Co.,Ltd.,Shanghai 200135,China)

Abstract: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.

Keywords:Gabor filtering algorithm;normalization processing;fingerprint recognition


参考文献:

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作者简介:张俊冯(1987-),男,汉族,上海人,高级主管, 中级职称,复旦大学工学学士,管理学硕士,研究方向:人工智能、 大数据、云计算。