Fingerprint Recognition by Minutiae Matching Method for Evaluating Accuracy

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-5                      
Year of Publication : 2013
Authors : Hemlata Patel , Mr. Vishal Sharma

Citation 

Hemlata Patel , Mr. Vishal Sharma. "Fingerprint Recognition by Minutiae Matching Method for Evaluating Accuracy". International Journal of Engineering Trends and Technology (IJETT). V4(5):2136-2140 May 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

Today, Fingerprint recognitions are used for person identification and verification . In fingerprint recognition, matching methods and algorithms are most important for research area. Matching methods based on the different types of patterns are important for matching and algorithms based on the minutiae points are important for finding and calculating the matching points into the fingerprint of any person. But there are some drawbacks that affect the accuracy of fingerprint matching like, insensitivity to change the direction of fingerprint, size, difference between the two fingerprints, features of fingerp rints and poor quality fingerprint image. To remove these drawbacks, we use a method that describes the different patterns of fingerprint (Arch, Whorl, and Loop) using different orientation and algorithm that improves the extraction of minutiae points based on ridges, dots and splitting ridges. It matches and compares the whole fingerprint and verifies the original fingerprint, and after that it identifies the person. This method give the result in form of FMR and FNMR and shows the 0.00 for FNMR and 0.023 for FMR which is better than the Fingerprint Recognition using Minutia Score Matching system .

References

[1] Andrew Acker man, Professor Rafail Ostrovsky “Fingerprint Recognition”.
[2 ] Anil Jain, Yi Chen, and Meltem Demirkus, “Pores and Ridges: Fingerprint Matching Using Level 3 Features”, Department of Computer Science and Engineering Michigan State University.
[3] Anil K. Jain , Fellow, IEEE , Salil Prabhakar, Lin Hong, and Sharath Pankanti, “Filter bank - Based Fingerprint Matching”, IEEE Transactions on Image Processing, Vol. 9, No. 5, May 2000
[4] Ary Noviyanto And Reza Pulungan,“A Comparison Framework For Fingerprint R ecognition Methods”,Proceedings of “The 6th SEAMS - UGM Conference 2011” Computer, Graph and Combinatorics, Pp.601 – 614.
[5] Asker M. Bazen, Gerben T.B. Verwaaijen, Sabih H. Gerez, Leo P.J. Veelenturf and Berend Jan Van Der Zwaag University Of Twente, Depart ment of Electrical Engineering,” A Correlation - Based Fingerprint Verification System” Prorisc 2000 Workshop on Circuits, Systems And Signal Processing, Veldhoven, The Netherlands, November 2000.
[6] Jie Zhou , Member, IEEE, and Jinwei Gu “A Model - Based M ethod For The Computation Of Fingerprints’ Orientation Field”, IEEE Transactions on Image Processing, Vol. 13, No. 6, June 2004.
[7] Kalyani Mali, Samayita Bhattacharya,“Fingerprint Recognition Using Global and Local Structures”, International Journal on Computer Science and Engineering (IJCSE), ISSN: 0975 - 3397 Vol. 3 No. 1 Jan 2011 16.
[8] R. Singh1, M. Vatsa1, and A. Noore2, “Fingerprint Indexing Using Minutiae and Pore Features”, West Virginia University, Morgantown, USA, This email address is being protected from spambots. You need JavaScript enabled to view it..
[9] Ravi. J, K. B. Raja, Venugopal. K. R, “ Fingerprint Recognition Using Minutia Score Matching ”, International Journal of Engineering Science and Technology Vol.1 (2), 2009, 35 - 42.
[10] Sangram Bana1 and Dr. Davinder Kaur2, “Fingerprint Recognition us ing Image Segmentation” (IJAEST) International Journal of Advanced Engineering Sciences and Technologies Vol No. 5, Issue No. 1, 012 – 023.
[11] Shaole Zhang, Xiaojun Jing, Bo Zhang, Songlin Sun, “ An Adaptive Fingerprint Image Segmentation Algorithm Based On Multiple Features ”, 978 - 1 - 4244 - 5848 - 6/10/$26.00 ©2010 IEEE.
[12] History of Fingerprint, http://www.crimtr ac.gov.au/our_services/ Histor of Fingerprinting .html

Keywords
Fingerprint Recognition, Verification, Identification, Fingerprint Matching Techniques and Algorithms .