Algorithm for Finger Crease Pattern Recognition Based on Projection and Wavelet Analysis
Luo Rong-fang, Lin Tu-sheng · Jisuanji gongcheng · 2008
【Abstract】Because the finger creases are thought to be stable and different for each individual, this paper proposes a new finger crease recognition method based on projection and wavelet. After image localization and normalization, the subimage for each finger image is obtained. The subimage is a rectangular window on inner side of the finger, which includes the first and the second joint line in the finger image. The subimage is projected onto horizontal axis to construct one-dimensional signal. Wavelet analysis is applied to extract finger crease features from one-dimensional signal to form the feature vector. The proposed method has been tested on a finger database by using the nearest neighbor classifier. The experimental results show the effectiveness of the proposed method in terms of the Equal Error Rate (EER) (≈1.5 percent). 【Key words】finger crease pattern; biometrics; wavelet analysis; feature extraction