Alternative Framework for Enhancing Image Quality of the Fingerprint
Keywords:
Biometric, Enhancement, Fingerprint, Image Processing, Image Quality, Minutiae.Abstract
Fingerprint Identification is one of the most popular biometric methods used to verify and identify a person; formally it is defined as “The pattern of ridges and furrows on an individual finger”. Ridges are the lines in thumb and furrow is shallow trench of skin on an individual’s finger. Furrow is also referred to as valley. The combination of ridges and furrows makes an individual’s fingerprint and it’s called minutiae. A critical step in Fingerprint is to automatically and reliably extract minutiae from input finger print images. However the performance of the Minutiae extraction algorithm and other fingerprint recognition techniques relies heavily on the quality of the input fingerprint image. In order to ensure that the performance of the minutiae extraction algorithm will be robust with respect to the quality of input fingerprint images, an enhancement framework which can improve the clarity of the ridge structures is necessary. In this paper we reviewed, analyzed and evaluated some of the existing frameworks for image enhancement of the fingerprint which used Image or Minutiae Based and anticipated outcome of this effort is alternative hybrid framework of enhancing fingerprint image quality, that is a more proactive and consistent approach of improvement, 100 fingerprint from 4 DBs of FVC2006 was used for experiment and tested in MATLAB & Adobe Photoshop image processing Software’s, result indicates that proposed enhancement framework improved gap knowledge of the analyzed existing frameworks and Fingerprint were enhanced by correcting and removing noise from the input fingerprint.
References
Sakthi Vignesh Radhakrishnan. “A Framework For System Fingerprinting.” A Thesis Presented to The Academic Faculty, Georgia Institute of Technology, USA, 2013.
Jimoh, R. G, Abdulsalam Sulaiman Olaniyi and Adewole, Kayode S. “Adoption of Fingerprinting as an Automated Access Control Technique in University Hostels.” ARPN Journal of Systems and Software, Volume 1 No. 4. P149-153, July. 2011.
Seung Min Jung. “Active Capacitive-Sensing Circuit Technique for Image Quality Improvement on Fingerprint Sensor.” Journal of Next Generation Information Technology (JNIT) Volume 4, Number 3. P47-53, May. 2013.
Naja M I and Rajesh R. “Fingerprint Image Enhancement Algorithm and Performance Evaluation.” International Journal of Innovative Research in Computer and Communication Engineering, Vol. 3, Issue 1, P 441-446, January. 2015.
Ankita and Iqbaldeep Kaur.” Improving Delaunay Technique for Fingerprint Recognition Using Histogram Technique.” IJCSI International Journal of Computer Science Issues, Volume 12, Issue 1, No 2.P 97-100, January 2015.
Sandhya Tarar and Ela Kumar. “Fingerprint Image Enhancement: Iterative Fast Fourier Transform Algorithm and Performance Evaluation.” International Journal of Hybrid Information Technology, Vol. 6, No. 4. P 11-20, July. 2013.
Nadira Quadri and Surendra Singh Choudhary.” Performance Analysis and Designing of Fingerprints Enhancement Technique Based on Segmentation, OF Estimation and Ridge Frequency, Gabor Filters with Wavelet Transform.” International Journal of Computer Science and Information Technologies, Vol. 5 (5), 2014.
Walubengo, M. “the government needs some major government needs some major technology achievements in 2015.” Internet: http://www.jkuat.ac.ke/departments/it/the-government-needs-some-major-technology-achievements-in-2015, January 20 2015 [May 15, 2015].
Ravi Bhushan Tiwari, Sanjay Sharma and Sidhu. “Biometric authentication using fingerprint.” Youth Education and Research Trust (YERT). J. Acad. Indus. Res. Vol. 1(8). P 489-492, January. 2013.
Han zhike and Lu Minyuan. “Improved Pattern-based Fingerprint Image Preprocessing and Binarization Algorithm,” presented at the 2nd International Conference on Computer Application and System Modeling. Atlantis Press, Paris, France, 2012.
Annu Saini. “Image Enhancement Techniques for Fingerprint Images.” International Journal of Emerging trends & Technology in Computer Science, Volume 1, Issue 3, October 2012
Amira Saleh, Ayman Bahaa and A. Wahdan. “Fingerprint Recognition, Advanced Biometric Technologies.” Dr. GirijaChetty (Ed.), 2011.
V.Karthikeyan and V.J.Vijayalakshmi. “An Efficient Method for Recognizing the Low Quality Fingerprint Verification by Means of Cross Correlation.” International Journal on Cybernetics & Informatics (IJCI) Vol.2, No.5. October. 2013.
Yulong Zhang and Tao Wei. “To Swipe or Not to Swipe: A Challenge for Your Fingers.” RSA Conference, USA. 2015.
Yilong Yin, Yanbin Ning, Chunxiao Ren and Li Liu. A Framework OfMultitemplate Ensemble For Fingerprint Verification. EURASIP Journal on Advances in Signal Processing, Vol 1, No 14, 2012.
Sailendra Sagar Patra & Sandeep Kumar Panda. “Fingerprint Recognition,” Apex Institute Of Technology & Management, Pahala, Bhubaneswar, Odisha, India, 2013.
Rajin. R and Rahul Ajith Kumar. “Comparative Study on Various Fingerprint Image Enhancement Techniques. COMPUSOFT.” An international journal of advanced computer technology, 4 (2), (Volume-IV, Issue-II). P 1502-1508, February. 2015.
Digital Citizen Security Unit (DCSU). “Fingerprint Recognition for Children, Final Report.Institute for the Protection and Security of the Citizen.” European Commission - Joint Research Centre. September. 2013.
R. Cappelli, M. Ferrara, A. Franco and D. Maltoni. “Fingerprint verification competition FVC,” Biometric Technology Today, vol.15, no.7-8, pp.7-9, August 2007.
Kovimesterr. “Image Enhancement Techniques.” Internet: https://github.com/ kovimesterr/SSIP2013/wiki/Image-Enhancement-Techniques. Jul 13, 2013 [29/03/2016].
Downloads
Published
How to Cite
Issue
Section
License
Authors who submit papers with this journal agree to the following terms.
