Face Recognition Based On Wavelet Transform

This paper investigates face recognition based on wavelet transformation. It alsodescribes traditional wavelets and Gabor wavelets as well as their comparison. Several facerecognition experiments are performed based on subspace analysis (feature face). Our majorwork is as follows.Two steps of face recognition are discussed:①face detection and location which includestatistical method and knowledge based modeling methods;②facial feature extraction andrecognition including geometric features, subspace analysis, elastic graph matching,neural network, hidden Markov model, and template matching methods etc..Next, analysis of the wavelet transform in image processing applications, use traditionalwavelet transform and Gabor wavelet transform to processing pictures.Finally, we use the face images collected in our laboratory, the ORL face library and theStirling international authoritative face library to perform some specific experiments, thenanalyze the experimental results to show the advantages of wavelet transformation in facerecognition.