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IRIS BIOMETRIC SYSTEM DESIGN USING MULTISPECTRAL IMAGING

机译:使用多光谱成像的IRIS生物计量系统设计

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An identity recognition system is a vital component that cannot be separated from life, iris biometric is one of the biometric that has the best accuracy reaching 99%. Usually, iris biometric systems use infrared spectrum lighting to reduce discomfort caused by radiation when the eye is given direct light, while the eumelamin that is forming the iris has the most flourescent radiation when given a spectrum of visible light. This research will be conducted by detecting iris wavelengths of 850 nm, 560 nm, and 590 nm, where the detection algorithm will be using Daugman algorithm by using a Gabor wavelet extraction feature, and matching feature using a Hamming distance. Results generated will be analyzed to identify how much differences there are, and to improve the accuracy of the multispectral biometric system and as a detector of the authenticity of the iris. The results obtained from the analysis of wavelengths 850 nm, 560 nm, and 590 nm respectively has an accuracy of 99,35 , 97,5 , 64,5 with a matching score of 0,26 , 0,23 , 0,37.
机译:身份识别系统是离不开生命的重要组成部分,虹膜生物特征识别是其中最准确的生物特征之一,可达到99%。通常,虹膜生物特征识别系统使用红外光谱照明来减少当眼睛受到直射光时由辐射引起的不适感,而当形成可见光光谱时,形成虹膜的Eumelamin会发出最多的荧光。这项研究将通过检测850 nm,560 nm和590 nm的虹膜波长来进行,其中检测算法将通过利用Gabor小波提取特征的Daugman算法和利用汉明距离的匹配特征来进行。将对生成的结果进行分析,以识别存在多少差异,并提高多光谱生物识别系统的准确性,并作为虹膜真实性的检测器。从波长850 nm,560 nm和590 nm的分析获得的结果分别具有99,35、97,5、64,5的准确度,匹配得分为0,26、0,23、0,37。

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