A Method of Lip Print Recognition Based on Sections Comparison

This paper presents a method for recognition lip print images. The presented method is based on the analysis and comparison of the features extracted from lip print images. These features are the sections that represent the lines located on the lips. Sections were extracted using the Hough transform and an algorithm for searching for the sections lying on straight lines. The coefficient of similarity of average differences was used as the measure of the similarity between the sections. This coefficient was modified to take account of section features such as: the length, the angle of inclination in relation to the X axis, and the location of the midpoint of the section. The effect of the length of the analysed sections on the results of the classification was also determined during the studies.