AN EFFECTIVE ALGORITHM FOR FINGERPRINT REFERENCE POINT DETECTION BASED ON FILED FLOW CURVES

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NASIRI ALI AKBAR; FATHY MAHMOOD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP)
Year:2015 | Issue:1

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Title

AN EFFECTIVE ALGORITHM FOR FINGERPRINT REFERENCE POINT DETECTION BASED ON FILED FLOW CURVES

Author(s)

NASIRI ALI AKBAR | FATHY MAHMOOD | Issue Writer Certificate

Keywords

ORIENTATION FIELD

REFERENCE POINT

FILED FLOW CURVE

CURVATURE

SINGLE-LINK CLUSTERING

POINCARE INDEX

Abstract

THIS PAPER INTRODUCES AN APPROACH TO DETECT REFERENCE POINT FOR FINGERPRINT IMAGES. REFERENCE POINT EXTRACTION IS A KEY COMPONENT IN AUTOMATIC FINGERPRINT IDENTIFICATION SYSTEM (AFIS). A NEW METHOD WAS PROPOSED FOR FINGERPRINT REFERENCE POINT EXTRACTION, BASED ON FIELD FLOW CURVE AND CLUSTERING. POINTS OF CURVATURE IN THE FLOW CURVES, ALONG WITH THEIR CURVATURE VALUES, ARE USED IN OUR REFERENCE POINT DETECTION. BECAUSE WE USE FLOW CURVE INSTEAD OF RIDGE FOR REFERENCE POINT DETECTION, OUR METHOD IS ROBUST TO NOISE AND HAS A GOOD RESULT ON FINGERPRINT IMAGE WITH LOW QUALITY. ALSO OUR METHOD CAN DETECT A REFERENCE POINT FOR AN ARCH TYPE FINGERPRINT WHICH IS HARD FOR OTHER METHODS TO DETECT IT. THE EXPERIMENTS OF REFERENCE POINT DETECTION ARE CONDUCTED ON FVC 2002 AND FVC 2004. EXPERIMENTAL RESULTS SHOW THAT OUR ALGORITHM IS ACCURATE AND ROBUST, GIVING BETTER RESULTS THAN COMPETING APPROACHES. ...

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APA: Copy

NASIRI, ALI AKBAR, & FATHY, MAHMOOD. (2015). AN EFFECTIVE ALGORITHM FOR FINGERPRINT REFERENCE POINT DETECTION BASED ON FILED FLOW CURVES. INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). SID. https://sid.ir/paper/927527/en

Vancouver: Copy

NASIRI ALI AKBAR, FATHY MAHMOOD. AN EFFECTIVE ALGORITHM FOR FINGERPRINT REFERENCE POINT DETECTION BASED ON FILED FLOW CURVES. 2015. Available from: https://sid.ir/paper/927527/en

IEEE: Copy

ALI AKBAR NASIRI, and MAHMOOD FATHY, “AN EFFECTIVE ALGORITHM FOR FINGERPRINT REFERENCE POINT DETECTION BASED ON FILED FLOW CURVES,” presented at the INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). 2015, [Online]. Available: https://sid.ir/paper/927527/en

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