Fast and Robust Biometric Authentication Scheme Using Human Ear

作者: Mozammel Chowdhury , Rafiqul Islam , Junbin Gao

DOI: 10.1007/978-3-319-78816-6_11

关键词:

摘要: Biometric authentication using human ear is a recent trend in security applications including access control, user recognition, surveillance, forensic, and border systems. This paper aims to propose fast robust scheme biometric. In this work, technique based on the AdaBoost algorithm used detect of from profile images. An efficient stereo matching match user’s data (probe) previously enrolled (stored) gallery database for verification recognition. Correspondences are established between extracted features probe image sequences. The performance recognition approach evaluated different standard datasets compared with other techniques. Experimental results suggest superiority proposed over popular techniques reported work.

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