Development of an efficient secure biometric system by using iris, fingerprint, face

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Pub Date : 2017-10-01 DOI:10.1109/ICISIM.2017.8122156

R. Telgad, Almas M. N. Siddiqui, Savita A. Lothe, P. Deshmukh, Gajanan Jadhao

引用次数: 4

Abstract

In this research paper three biometric characteristics are used i.e. Fingerprint, Face, Iris at score level of Fusion. For finger print images two methods are used i.e. Minutiae Extraction and Gabor filter approach. For Iris recognition system Gabor wavelet is used for feature selection. For Face biometric system P.C.A. is used for feature selection. The match count of every trait is calculated. Then the generated result of match and non match is utilized for the sum score level fusion. Then decision is find out for persons recognition. The system is tested on std. Dataset and KVK data set. On KVK dataset it generates an the results as 99.7 % with FAR of 0.02% and FRR of 0.1% and for FVC 2004 dataset and MMU dataset it gives the result as 99.8 % with FAR of 0.11% and FRR of 0.09%

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基于虹膜、指纹、人脸的高效安全生物识别系统的开发

本文采用指纹、人脸、虹膜三种生物特征进行融合得分。对于指纹图像，采用了两种方法:Minutiae Extraction和Gabor filter。虹膜识别系统采用Gabor小波进行特征选择。人脸生物识别系统采用pca进行特征选择。计算每个性状的匹配数。然后利用匹配和不匹配生成的结果进行总分数水平融合。然后决定为人们识别找出。在std数据集和KVK数据集上对系统进行了测试。对于KVK数据集，它生成的结果为99.7%，FAR为0.02%，FRR为0.1%;对于FVC 2004数据集和MMU数据集，它给出的结果为99.8%，FAR为0.11%，FRR为0.09%

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)

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