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Detecting the Location of Eyes on the Front Facial Images Using Two-Phase Method

Noopur Desai, Vidhi Dharia, Ishani Shah, Ghanshyam Prajapati

Biometric identification has played an important role in many of real life applications. Out of these applications, eye detection is crucial whenever we are dealing with face analysis and recognition of facial features. Eye detection is somewhat difficult due to multiple variations in human faces, size of eyes and due to spectacles. This paper attempts to detect eyes in human images. The proposed approach is divided into two phases. The first phase deals with the detection of face in the image. Once the face is detected, the second phase deals with the detection of eyes in the face detected. The results of the implemented algorithm are quite accurate.