Ear Recognition Method of Phase Congruency and KDDA Combination
Yu Zhou · Microcomputer Information · 2011
As ear recognition is to be developed, it is crucial to find an illumination and contrast invariant measure of feature significance. This paper proposed a method of ear Feature Extraction based on Phase Consistency. This approach first calculates the Phase Congruency of every point in the ear image from 8 directions, and then we divide output images of Phase Congruency into equal blocks and sum value of points in each block of the image to obtain feature vector, at last project vector into low-dimensional space with enhanced discriminant power via KDDA,and in the space we calculate the Euclidean distance for matching. Experiments are car- ried on the database of 308 images of 77 ears. When the EER is 1.7%, the CCR could reach about 98.2. And The invariance to illumination is illustrated in ear recognition.