Fingerprint Minutiae Matching using Region of Interest

  IJCOT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© - April Issue 2013 by IJCTT Journal
Volume-4 Issue-4                           
Year of Publication : 2013
Authors :Dr. Neeraj Bhargava, Dr. Ritu Bhargava, Manish Mathuria, Pooja Dixit

MLA

Dr. Neeraj Bhargava, Dr. Ritu Bhargava, Manish Mathuria, Pooja Dixit "Fingerprint Minutiae Matching using Region of Interest"International Journal of Computer Trends and Technology (IJCTT),V4(4):515-518 April Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract: -Fingerprint Verification is the most reliable and feasible methods of person identification. The only problem with functionality of Fingerprint Verification System is: it depends on the quality of image. The quality of fingerprint image affects by both environment and scanner’s-surface. The Fingerprint Minutiae-Matching is not possible until the quality of fingerprint image improve. The limitation of image processing is that it can only interact with pixel values but not with location of pixels (i.e. Minutiae Points). The only solution to this problem is to select Region of Interest (ROI). In this paper, an effectual Fingerprint Verification System is presented based on ROI. The objective of the research is to study ROI based Fingerprint Minutiae Matching.

 

References-
[1] Manvjeet Kaur, Mukhwinder Singh, Akshay Girdhar, and Parvindar S. Sandhu “Fingerprint Verification System using Minutiae Extraction Technique” World Academy of Science, Engineering and Technology 22 2008.
[2] Tatsat Naik and Om Sri Satyasai under the guidance of Prof. S. Meher “Study of Fingerprint Recognition” department of Electronic and communication Engineering National Institute of Technology Rourkela-769008.
[3] Almudena Lindoso, Luis Entrena, Judith Liu-Jimenez, Enrique San Millan“Correlation-Based Fingerprint Matching with Orientation Field Alignment” Volume 4642, 2007, pp 713-721.
[4] Roli Bansal, Priti Sehgal and Punam Bedi “Minutiae Extraction from Fingerprint Images a Review” department of computer science, University of Delhi. IJCSI International Journal of computer Science Issues, Vol. 8,Issue 5,No 3, September 2011 ISSN(online):1694-0814, www.IJCSI.org.
[5] S. Archana and A. Pranab “Fingerprint Matching Incorporating ridge Features” International Conference on Computing and Control Engineering (ICCCE 2012), 12& 13 April, 2012.

Keywords — Fingerprint, Fingerprint Recognition, Histogram Equalization, Binarization, Thinning, Region of Interest, Minutiae Marking.