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Bhuvana Sundar
Bhuvana Sundar
Tecnologia
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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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