Current Proceedings on Technology

Yazarlar: Ali Habiboghli, Vasif V. Nabiyev

Konular:-

Anahtar Kelimeler:Biometrics,Ear identification,Image processing.

Özet: Ear detection from a profile face image is an important step in many applications including biometric recognition. But accurate and rapid detection of the ear for real-time applications is a challenging task, particularly in the presence of occlusions. For identification, first ear region should be detected from profile faces. In this work, We adapted the cascaded profile faces from canons approach to detect ear from a 2D profile face images. profile face image is getting as input image. In profile face, ear image region is estimated by profile faces canons. And then after review, ear region is specified as a frame. For this aim, we use filtering, edge detection algorithm, closing morphology and noise elimination. Experiments are performed on CVL image database. Also, with increasing number of profile image database we evaluated two important biometric factor that are included False Detection Rate(FDR) and Correct Detection Rate(CDR).

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