Science & Engineering Research Support soCiety (SERSC)
Ear is a new class of relatively stable biometrics which is not affected by facial expressions, cosmetics, eye glasses and aging effects. Ear detection is the first step of an ear recognition system, to use ear biometrics for human identification. In this paper, an oval shape detection based approach is presented for ear detection from 2D profile face images. The correctness of the detected ear is verified using support vector machine tool. The experimental results prove the effectiveness of the presented method.