Curvelet-based palm vein biometric recognition

• 来源期刊: 中国光学快报(英文版)
• 学科: 工学
• 关键词: 生物特征识别 静脉 变换技术 对象数据库 识别系统 成分分析 稀疏表示 分类器
• 年，卷（期）: 2010,（6）
• 所属期刊栏目: Image Processing
• 页码范围: 577-579
• 页数: 3页
• 分类号: TP391.41 Q959.725
• 语种: 英文

摘要

A novel personal recognition system utilizing palm vein patterns and a novel technique to analyze these vein patterns is presented.The technique utilizes the curvelet transform to extract features from vein patterns to facilitate recognition.This technique provides optimally sparse representations of objects along the edges.Principal component analysis(PCA) is applied on curvelet-decomposed images for dimensionality reduction.A simple distance-based classifier,such as the nearest-neighbor(NN) classifier,is employed. The experiments are performed using our palm vein database.Experimental results show that the algorithm reaches a recognition accuracy of 99.6%on the database of 500 distinct subjects.