Review On: Finger Vein Recognition Using Discrete Wavelet Packet Transform Based Features

Volume: 3    Issue: 12

Year of Publication: 2017

Pages: (5-6)

Authors: Pallavi, Er. Harsimran Singh

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Abstract

Finger vein is a distinctive biometric method for identification of individuals based on the physical characteristics and parameters of the vein patterns in the human. This method of personal identification have been attracting attention in forensics and civilian applications such as crime detection, banking, physical access control, information system security, national ID systems and voter and driver registration. Finger vein biometric is considered unique and reliable because every individual has different veins pattern. This paper discusses a novel technique for finger veins features extraction using Repeated Line Tracking; Discrete Wavelet Packet Transform with Segmentation based method. The DWPT without HH sub and decomposition is applied on ROI of 96x64 size finger veins image up to third level. The performance of proposed method is evaluated on the standard finger veins image ROI database of SDUMLA Shandong University. Experimental results show that the suggested method yields better results as compared to the standard Discrete Wavelet Transform (DWT) and DWPT Methods.

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Keywords

Finger Vein Recognition; Biometrics; Discrete Wavelet Transform; Discrete Wavelet Packet Transform; Segmentation, Repeated Line Tracking.