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5 May 2009 Ear localization using hierarchical clustering
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Surya Prakash, Umarani Jayaraman, and 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);

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