Study of low-resolution human ear image recognition
Jinyu Guo · Jisuanji yingyong yanjiu · 2010
This paper discussed the low-resolution image recognition performance of the human ear and deduced the relationship between resolution and recognition rate in view of the requirements for memory capacity and computing speed in ear recognition and taking account of the low-resolution ear recognition problem at the long-range shooting.It first broke up the human ear images into different layers by using Gaussian pyramid,and then extracted the features of each layer on generalized discriminant analysis (GDA).Finally,calculated the cosine distance between the test samples and made classified recognition by the threshold value.The experimental results show that the system recognition performance is the best when the human ear image reduces to 36 × 24 and the requirements for a real-time biometric identification system are met.