Personal identification using lip print furrows

There are common techniques for personal identification such as fingerprint recognition, face and iris recognition. In this paper, we suggest a new method using lip print furrows. This will be useful in forensics services. study aims to identify people by their patterns that unique each person. Lip features extracted from the images vertical Sobel operator, diagonal ±45 lines, hough transform. A pattern was formed person containing only furrows (the features) were 3 The correlation coefficients mean squared error (MSE) provided passed support vector machine (SVM) classification process. suggested gives good results. comparison between results of proposed other methods presented.