Scale Invariant Feature Transform Based Fingerprint Corepoint Detection

  • Madasu Hanmandlu Indian Institute of Technology Delhi, New Delhi
  • Abdul Quaiyum Ansari Jamia Millia Islamia, New Delhi
  • Jaspreet Kour Jamia Millia Islamia, New Delhi
  • Kunal Goyal Indian Institute of Technology Ropar, Ropar
  • Rutvik R. Malekar Indian Institute of Technology Ropar, Ropar
DOI: https://doi.org/10.14429/dsj.63.2708
Keywords: Biometrics, fingerprint, corepoint, scale invariant feature transform

Abstract

The detection of singular points (core and delta) accurately and reliably is very important for classification and matching of fingerprints. This paper presents a new approach for core point detection based on scale invariant feature transform (SIFT). Firstly, SIFT points are extracted ,then reliability and ridge frequency criteria are applied to reduce the candidate points required to make a decision on the core point. Finally a suitable mask is applied to detect an accurate core point. Experiments on FVC2002 and FVC2004 databases show that our approach locates a unique reference point with high accuracy. Results of our approach are compared with those of the existing methods in terms of accuracy of core point detection.

Defence Science Journal, 2013, 63(4), pp.402-407, DOI:http://dx.doi.org/10.14429/dsj.63.2708

Author Biographies

Madasu Hanmandlu, Indian Institute of Technology Delhi, New Delhi

Dr Madasu Hanmandlu received his MTech (Power systems) from REC Warangal, Jawaharlal Nehru Technological University in 1976, and PhD (Control Systems) from Indian Institute of Technology (IIT), Delhi, in 1981. Presently working as Professor in Department of Electrical Engineering, IIT, Delhi. He has authored a book on Computer Graphics and published more than 220 publications in both conferences and journals. He has guided 15 PhDs and 100 MTech students. His current research interests mainly include: Fuzzy modeling for dynamic systems and applications of fuzzy logic to image processing, document processing, medical imaging, multimodal biometrics, surveillance and intelligent control.

Abdul Quaiyum Ansari, Jamia Millia Islamia, New Delhi

Dr Abdul Quaiyum Ansari received his BTech, MTech and PhD from AMU, Aligarh; IIT Delhi, New Delhi, and JMI, New Delhi, respectively. He is a Professor and Head, Department of Electrical Engineering, Jamia Millia Islamia, New Delhi. His research areas includes: Computer networks, networks-on-chip, fuzzy logic, and image processing.

Jaspreet Kour, Jamia Millia Islamia, New Delhi

Ms Jaspreet Kour received her BTech, MTech from REC(NIT) Bhopal and UPTU Lucknow, respectively. Currently pursuing her PhD in the Department of Electrical Engineering at Jamia Millia Islamia, New Delhi. She is serving as Faculty in Department of Electronics and Instumentation Engineering, GCET, Greater Noida, India. Her research areas includes: Pattern recognition, image processing and biometrics.

Kunal Goyal, Indian Institute of Technology Ropar, Ropar

Mr Kunal Goyal is an undergraduate student pursuing Electrical Engineering at Indian Institute of Technology Ropar, Punjab, India. His research areas includes: Signal and system, processor design and biometrics.

Rutvik R. Malekar, Indian Institute of Technology Ropar, Ropar

Mr Rutvik R Malekar is an undergraduate student pursuing Electrical engineering at Indian Institute of Technology Ropar, Punjab, India.His research areas includes: Computer architecture, image processing and biometrics.

Published
2013-07-22
How to Cite
Hanmandlu, M., Ansari, A., Kour, J., Goyal, K., & Malekar, R. (2013). Scale Invariant Feature Transform Based Fingerprint Corepoint Detection. Defence Science Journal, 63(4), 402-407. https://doi.org/10.14429/dsj.63.2708
Issue
Vol 63 No 4
Section
Electronics & Communication Systems
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