Palmprint Recognition in Eigen-space

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 5

Abstract

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.

Authors and Affiliations

Ashutosh Kumar , Ranjan Parekh

Keywords

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  • EP ID EP103393
  • DOI -
  • Views 118
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How To Cite

Ashutosh Kumar, Ranjan Parekh (2012). Palmprint Recognition in Eigen-space. International Journal on Computer Science and Engineering, 4(5), 788-794. https://www.europub.co.uk/articles/-A-103393