A Principal Component Analysis Fusion Method on Infrared Multi-Light-Intensity Finger Vein Images

摘要

This paper presents an infrared finger vein image fusion method based on principal component analysis(PCA) by image column blocking. The source images are captured under the multi-light-intensity condition, which have higher dynamic range than single explosure image. In the fusion process, the multi-light-intensity images are blocked by the column. The blocks are fused by the PCA method, respectively. The result image of the proposed method It is convenient for image fusion and subsequent processing.