Personal recognition based on an image of the palmar surface of the hand
- 作者：Tadej Savič ; ; Nikola Paveš ; ić
- 关键词：Biometrics ; Personal recognition ; Multimodal systems ; Score normalization ; Fusion ; Fingerprint ; Palmprint ; Digitprint ; Hand-geometry
- 刊名：Pattern Recognition
- 出版年：2007
- 期刊代码：100_00313203
- 类别：cp
- 出版时间：November 2007
- 卷：40
- 期：11
- 页码：3152-3163
- 文件大小：518 K
摘要
This paper describes the design and development of a multimodal biometric personal recognition system based on features extracted from a set of 14 geometrical parameters of the hand, the palmprint, four digitprints, and four fingerprints. The features are extracted from a single high-resolution gray-scale image of the palmar surface of the hand using the linear discriminant analysis (LDA) appearance-based feature-extraction approach. The information contained in the extracted features is combined at the matching-score level. The resolutions of the palmprint, digitprint and fingerprint sub-images, the similarity/dissimilarity measures, the matching-score normalization technique, and the fusion rule at the matching-score level, which optimize the system performance, were determined experimentally. The biometric system, when using a system configuration with optimum parameters, showed an average equal error rate (EER) of 0.0005%, which makes it sufficiently accurate for use in high-security biometric systems.