IJIGSP Vol. 4, No. 6, 8 Jul. 2012
Cover page and Table of Contents: PDF (size: 549KB)
Full Text (PDF, 549KB), PP.29-35
Views: 0 Downloads: 0
Original Image, Bifurcation, Termination, Dual Image
In this paper we have used all existing algorithms. When a fingerprint image is captured it is made pass through all the algorithms arranged in a particular order. We found that if we process a fingerprint in this particular order, the final output is good enough for minutiae detection and feature extraction. We have done many experiments on fingerprint images and found that this particular order of processing is producing better result. But for this we assume that the quality of the captured image is good enough. We have not worked on image quality enhancement. So if the input image is good our method will produce a good output. Off course this is a limitation of our proposed method, but if image is captured using a good quality device, then our method will produce an equal quality output as in other existing techniques.
Om Preeti Chaurasia,"An Approach to Fingerprint Image Pre-Processing",IJIGSP,vol.4,no.6,pp.29-35,2012. DOI: 10.5815/ijigsp.2012.06.05
[1]Chaohong Wu, Zhixin Shi and Venu Govindaraju. “ Fingerprint Image Enhancement Method Using Directional Median Filter”.
[2]Yiqiu Dong and Shufang Xu. “A New Directional Weighted Median Filter for Removal of Random-Valued Impulse Noise”.
[3]Raju Sonavane , Dr. B.S. Sawant. “Noisy Fingerprint Image Enhancement Technique for Image Analysis: A Structure Similarity Measure Approach”. IJCSNS International Journal of Computer Science and Network Security, VOL.7 No.9, September 2007.
[4]Lin Hong, Yifei Wan, Anil Jain. “Fingerprint Image Enhancement: Algorithm and Performance Evaluation”. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 20, NO. 8, AUGUST 1998.
[5]Sharat Chikkerur, Alexander N. Cartwright, Venu Govindaraju. “Fingerprint enhancement using STFT analysis”. Elsevier, 25th May 2006.Page: 198-211
[6]Sangram Bana and Dr. Davinder Kaur. Fingerprint Recognition using Image Segmentation. (IJAEST) INTERNATIONAL JOURNAL OF ADVANCED ENGINEERING SCIENCES AND TECHNOLOGIES Vol No. 5, Issue No. 1, 012 – 023
[7]Graig T. Diefenderfer, June 2006. Thesis on “Fingerprint Recognition” at Naval Postgraduate School, Monterey, California.
[8]Jyoti Rajharia, Dr. PC Gupta, Arvind Sharma. Fingerprint-Based Identification System:–A Survey. International Journal of Computer Technology and Electronics Engineering (IJCTEE) Volume 1, Issue 3
[9]F.A. Afsar, M. Arif and M. Hussain, Fingerprint Identification and Verification System using Minutiae matching, National Conference on Emerging Technologies 2004.
[10]Krithika Venkataramani a,, Vaibhav Kumar Singh. Fingerprint Identification : A brief literary review.
[11]Mar Mar Min and Yadana Thein. INTELLIGENT FINGERPRINT RECOGNITION SYSTEM WITH STATISTICAL AND GEOMETRICAL APPROACH.
[12]P. Kumar, S. R. Giri, G. R. Hegde and K. Verma, A Novel Algorithm to Extract Connected Components in a Binary Image of Vehicle License Plates, IJECCT 2012, Vol. 2 (2), Page 27-32.
[13]M. Cheriet, J. N. Said, and C. Y. Suen. “A Recursive Thresholding Technique for Image Segmentation”. IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 7, NO. 6, JUNE 1998.