An Approach to Boundary Extraction of Palm Lines and Vein Pattern

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Author(s)

Shriram D. Raut 1,* V. T. Humbe 2

1. School of Computational Sciences, Solapur University, Solapur. Maharashtra, India.

2. School of Technology, S.R.T.M. U. N. Sub-Campus, Latur, Maharashtra, India.

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2014.12.07

Received: 4 Jul. 2014 / Revised: 15 Aug. 2014 / Accepted: 25 Sep. 2014 / Published: 8 Nov. 2014

Index Terms

Opening, Closing, Canny edge, Vein pattern, features extraction

Abstract

The palm vein biometrics is automated tool to recognize a person based on human vein pattern. The vein pattern is intrinsic and subcutaneous so that is very difficult to forge or fake. This paper discusses about the feature extraction of the hand based recognition system that involves features like vein pattern, principal lines and secondary lines. The morphological operations such as opening, closing and edge detection technique like canny algorithm are used to extract the feature set. The result shows the prominent feature extraction using image processing techniques.

Cite This Paper

S. D. Raut, V. T. Humbe,"An Approach to Boundary Extraction of Palm Lines and Vein Pattern", IJIGSP, vol.6, no.12, pp.47-52, 2014. DOI: 10.5815/ijigsp.2014.12.07

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