Face Detection Using Probabilistic Neural Network (PNN)

W. Nurul Aliaa, W. Mazlan (2010) Face Detection Using Probabilistic Neural Network (PNN). Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Face recognition is a popular research topic in the biometric identification area. Face detection and localization is the most important pre-processing module of a face recognition system. The purpose of face detection is to search and localize the positions of faces in an image in the varied background. In this paper, a face detection system using neural network (NN) with Probabilistic Neural Network (PNN) method is proposed. The training speed of PNN can be orders of magnitude faster [1] than the well known back propagation (BP) paradigm, and yet the ability of the network to generalize to detect the face is approximately the same [2]. In this project, PNN method is to test with number of face and non-face. Then, calculate the percentage of output that the system can detect.

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