A biometric identification system based on eigenpalm and eigenfinger features (2005)
| Venue: | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Citations: | 18 - 1 self |
BibTeX
@ARTICLE{Ribaric05abiometric,
author = {Slobodan Ribaric and Ivan Fratric},
title = {A biometric identification system based on eigenpalm and eigenfinger features},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2005},
pages = {1698--1709}
}
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Abstract
Abstract—This paper presents a multimodal biometric identification system based on the features of the human hand. We describe a new biometric approach to personal identification using eigenfinger and eigenpalm features, with fusion applied at the matching-score level. The identification process can be divided into the following phases: capturing the image; preprocessing; extracting and normalizing the palm and strip-like finger subimages; extracting the eigenpalm and eigenfinger features based on the K-L transform; matching and fusion; and, finally, a decision based on the (k, l)-NN classifier and thresholding. The system was tested on a database of 237 people (1,820 hand images). The experimental results showed the effectiveness of the system in terms of the recognition rate (100 percent), the equal error rate (EER = 0.58 percent), and the total error rate (TER = 0.72 percent). Index Terms—Biometrics, multimodal systems, hand-based identification, K-L transform, eigenpalms, eigenfingers. æ
