文章基本信息

标题：Iris Recognition using Mel-Fequency Cepstral Coefficient
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作者：Shibli Nisar ; Mushtaq Ali Khan ; Muhammad Usman 等
期刊名称：International Journal of Engineering Research
印刷版ISSN：2319-6890
出版年度：2014
卷号：3
期号：2
页码：100-103
出版社：IJER
摘要：This paper proposes Iris feature extraction using Mel Frequency Cepstral Coefficient (MFCC). MFCC is originally used for speech and speaker recognition. The MFCC is applied in Iris recognition and the results obtained are very accurate and satisfactory. The system first takes the eye pattern of a person and a fter converting to 1D signal the MFCC is applied which extracts Iris features. The features are then compared with the features obtained in Enrollment phase, and decision is made after taking Euclidean distance.
关键词：Iris; recognition; recognition system; ; MFCC; Mel- Fequency Ceptral Coefficient.