Facial Mole Detection: An Approach towards Face Identification
Usha Rani Gogoi, Mrinal Kanti Bhowmik, Priya Saha, Debotosh Bhattacharjee, Barin Kumar De · Procedia Computer Science · 2015
Face is the most significant biometric as it reveals a person's identity more accurately. Soft biometric traits like facial marks have played a crucial role in identifying a human face. The paper presents an automatic prominent mole detection and validation technique which can reduce the adverse effect of illumination in face recognition. Normalized cross-correlation with LoG filter is used to detect the facial mole candidates. A contributory threshold based step is introduced in this paper to improve the accuracy of the mole detector. The mole detection rate is 91.67% using our own developed “DeitY-TU” face database and 90.58% using FEI face database.