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A Biometric Identification System Based on Eigenpalm and Eigenfinger Features
November 2005 (vol. 27 no. 11)
pp. 1698-1709
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).

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Index Terms:
Index Terms- Biometrics, multimodal systems, hand-based identification, K-L transform, eigenpalms, eigenfingers.
Citation:
Slobodan Ribaric, Ivan Fratric, "A Biometric Identification System Based on Eigenpalm and Eigenfinger Features," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 11, pp. 1698-1709, Nov. 2005, doi:10.1109/TPAMI.2005.209
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