Palmprint Recognition in Eigen-space
نویسندگان
چکیده
This paper proposes a novel technique for palmprint recognition in context to biometric identification of a person. Palmprints are images of the inner portion of a person’s palm and consist of a complex pattern of randomly oriented curves and lines. This random pattern can provide a unique identifier of a person if a mathematical model can be built to represent and compare it. In this paper the palmprint images are mapped to Eigen-space and a robust code signature is generated from different camera snapshots of the same palm to incorporate tonal and lighting variations. To enable real-time identification, the signature is represented by a low dimensional feature vector to reduce computational overheads. It is observed to produce high recognition accuracies which highlight reliability of the feature. KeywordsEigen vector, palmprint recognition, biometrics, computer vision.
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