Statistical Analysis of Resulting Palm vein Image through Enhancement Operations

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

1. Department of Computer Science and Applications School of Computational Sciences Solapur University, Solapur, Maharashtra, India

2. Department of Computer Science, School of Technology, S.R.T.M. University, Nanded, Sub-Campus, Latur, Maharashtra, India

* Corresponding author.


Received: 10 Aug. 2013 / Revised: 1 Sep. 2013 / Accepted: 25 Oct. 2013 / Published: 8 Dec. 2013

Index Terms

Multispectral, histogram, feature extraction, vein pattern, near infrared, coefficient of matrix


Nowadays biometric is playing a key role in the field of forensic and commercial applications. The vein biometrics is a robust biometric in recent trends.The vein pattern is very difficult to forge or fake. The traits are not going to be changed from birth to death. This paper discusses image enhancement operations and its result when applied on multispectral palm vein image. The image enhancement operations are much helpful to extract the vein patternas features.The experiments can be used to highlight or trace a vein pattern lies at palm region of hand. The proposed work gains vein pattern and considered as the stepping stone towards feature extraction. The paperalso discusses the comparison of statistical properties such as mean, standard deviation and coefficient of original image and images resulting out through enhancement operations. The enhancement operation is a key to gain the vein pattern. The image analysis can be framed well usingstatistical image measurements.

Cite This Paper

Shriram D. Raut, Vikas T. Humbe, "Statistical Analysis of Resulting Palm vein Image through Enhancement Operations", International Journal of Information Engineering and Electronic Business(IJIEEB), vol.5, no.6, pp.47-54, 2013. DOI:10.5815/ijieeb.2013.06.06


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