Our research is to overcome drawbacks in the current techniques for touch-less fingerprint recognition. We focus mainly image preprocessing, feature extraction and feature match. Each task analyzed by classical and up-to-date methods. Depending on the analysis, an integrated solution for demonstration of fingerprint recognition is developed. Our demonstration program is coded by MATLAB. To improve the performance of system optimization at coding level and algorithm level are proposed. The enhancements of performance can be judged by conducting experiments upon a variety of fingerprint images. The touch-less fingerprint recognition system can be divided into three main modules: preprocessing, feature extraction and matching. We put more emphasis on them so that drawbacks in current techniques can be overcame.

 

Published In : IJCSN Journal Volume 4, Issue 4

Date of Publication : August 2015

Pages : 582 - 589

Figures :12

Tables : 01

Publication Link : Touch-Less Finger-Print Recognition

 

 

 

Vishal S. Vaidya : Department of Electronics and Telecommunication J.T. Mahajan College of Engineering Faizpur.

Dr. A. M. Patil : Department of Electronics and Telecommunication J.T. Mahajan College of Engineering Faizpur.

 

 

 

 

 

 

 

Feature Extraction

Binarization

Fourier Transform

Orientation

Ridge Thinning

Gabor Filtering

Our research paper has combined many methods to build a minutia extractor and a minutia matcher. The combination of multiple methods comes from a wide investigation into research paper. Also some changes like segmentation using Morphological operations, minutia marking with special considering the triple branch counting, minutia unification by decomposing a branch into three terminations, and matching in the unified x-y coordinate system after a two-step transformation are used in our research paper . Also a program coding with MATLAB going through all the stages of the fingerprint recognition is built. It is helpful to understand the procedures of fingerprint recognition. And demonstrate the key issues of fingerprint recognition. Further study is needed to minimize the mathematical calculations and complication at some stages so that large data can be handled by system with increased accuracy.

 

 

 

 

 

 

 

 

 

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