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Bhuvana Sundar
Bhuvana Sundar

The document proposes a reliable fingerprint matching system using filter-based and Euclidean distance algorithms. It aims to improve accuracy of fingerprint matching by addressing issues caused by fingertip surface conditions and image quality. The proposed system extracts minutiae points using Gabor filters and matches fingerprints based on minutiae configuration and pore distances calculated using k-nearest neighbors algorithm. Testing on 20 fingerprints showed an average matching accuracy of 95-99% using this approach.

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[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ABSTRACT ,[object Object],[object Object]
Cont.. ,[object Object],[object Object],[object Object]
Biometric Technique ,[object Object],[object Object],[object Object],[object Object]
Fingerprint Classification ,[object Object],arch tented arch right loop Left loop whorl
EXISTING SYSTEM ,[object Object]
PROPOSED SYSTEM ,[object Object],[object Object],[object Object],[object Object]
contd.. ,[object Object],[object Object],[object Object]
Features of Fingerprint Matching ,[object Object],[object Object],[object Object],[object Object]
SYSTEM ARCHITECTURE USER INTERFACE ENROLLMENT MINUTAE EXTRACTOR QUALITY CHECKER AUTHENTICATION MINUTAE EXTRACTOR MINUTAE MATCHER DATA BASE VALID/ FAKE
Cont.. ,[object Object],[object Object],[object Object],[object Object],[object Object]
cont… ,[object Object],[object Object],[object Object]
MODULES ,[object Object],[object Object],[object Object],[object Object],[object Object]
SOURCE MODULE ,[object Object]
EXTRACTOR MODULE ,[object Object],[object Object],[object Object]
Cont... ,[object Object]
ALGORITHM ,[object Object],Step 1: Pattern based algorithms compare the basic fingerprint patterns (arch, whorl, and loop) between a previously stored template and a candidate fingerprint. Step 2: This requires that the images be aligned in the same orientation .
Cont… ,[object Object],[object Object],[object Object]
MATCHING MODULE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cont.. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
PORE CONFIGURATION ,[object Object],[object Object],[object Object],[object Object],[object Object]
ALGORITHM –K NN algo ,[object Object]
ACCURACY MODULE ,[object Object],[object Object],[object Object]
AUTHENTICATION MODULE ,[object Object]
DATA FLOW DIAGRAM FAKE VALID USER Read image Save image as identifier Smoothing Filtering Scaling Database Verification Remove background images Filtering fake minutae Scaling the length of the image
TESTING ,[object Object],RING INDEX THUMB Above 95-High accuracy (using algorithm ) 50 % matching is image matched with database( ordinary live scan process) LIVE SCAN MATCHING SCORES 55% 54% 63% ALGORITHM USING MATCHING SCORE 97% 98% 99%
Experimental results ,[object Object],[object Object],[object Object]
CONCLUSION ,[object Object],[object Object]
The end

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finger prints

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  • 10. SYSTEM ARCHITECTURE USER INTERFACE ENROLLMENT MINUTAE EXTRACTOR QUALITY CHECKER AUTHENTICATION MINUTAE EXTRACTOR MINUTAE MATCHER DATA BASE VALID/ FAKE
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  • 25. DATA FLOW DIAGRAM FAKE VALID USER Read image Save image as identifier Smoothing Filtering Scaling Database Verification Remove background images Filtering fake minutae Scaling the length of the image
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  • 28.