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5 May 2009Ear localization using hierarchical clustering
Ear biometrics has been found to be a good and reliable technique for human recognition. With the initial doubts on
uniqueness of the ear, ear biometrics could not attract much attention. But after it has been said that it is almost impossible
to find two ears with all the parts identical, ear biometrics has gained its pace. To automate the ear based recognition
process, ear in the image is required to be localized automatically. This paper presents a technique for the same. Ear
localization in the proposed technique is carried out by using the hierarchical clustering of the edges obtained from the
side face image. The technique is tested on a database consisting of 500 side face images of human faces collected at IIT
Kanpur. It is found to be giving 94.6% accuracy.
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Surya Prakash, Umarani Jayaraman, Phalguni Gupta, "Ear localization using hierarchical clustering," Proc. SPIE 7306, Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI, 730620 (5 May 2009);