Enhancement of Feature Extraction with a Robust Matching for Vascular Identification

Besra, Bhagyashree (2017) Enhancement of Feature Extraction with a Robust Matching for Vascular Identification. MTech thesis.

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Abstract

This thesis proposes a technique to find vein patterns from near- infrared palm and wrist images and extract features for biometric recognition. The technique analyzes the geometry of the hand to isolate the vein regions and extract features based on repeated line tracking algorithm and maximum curvature algorithm. For matching, it using robust template matching technique.
The major sections in this thesis consist of pre- processing, feature extraction and matching. The pre- processing and post- processing stages present operations involving image segmentation, mathematical morphology, etc. Basically, the features extracted are used as geometric and descriptive representation of the vein patterns. In order to extract the patterns for lineshaped image, two of the algorithms, namely, repeated line tracking algorithm and maximum curvature of points are used. The line tracking algorithm has a concept of tracking the dark line pattern at random points and repeat the process until it collects all the pixel points. In contrary, maximum curvature identifies the curvature structure in vein centers and uses it’s position to draw the pattern. The matched of palm and wrist vein images is carried out, in order to determine/ verify the person’s identity. For matching, robust template matching where, pixel- to- pixel comparison has been made. On comparison with the response time of the mentioned algorithms, the system is hence, feasible for real- time aplication.

Item Type:Thesis (MTech)
Uncontrolled Keywords:Biometry; Vascular images; Palm and wrist vein recognition; Feature extraction algorithms; Robust template matching
Subjects:Engineering and Technology > Computer and Information Science > Image Processing
Engineering and Technology > Computer and Information Science
Divisions: Engineering and Technology > Department of Computer Science
ID Code:8815
Deposited By:Mr. Kshirod Das
Deposited On:09 Mar 2018 19:33
Last Modified:09 Mar 2018 19:33
Supervisor(s):Mohapatra, Ramesh Kumar

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