Mechanism of Fingerprint Conversion to Text
DOI:
https://doi.org/10.26438/ijcse/v5i9.257260Keywords:
Fingerprint Conversion, Fingerprint Presentation, Minutiae Point, Database PerformanceAbstract
One of the important methods of identifying a person is fingerprint because it has several features like invariability, uniqueness and more. Nowadays, many databases hold fingerprint columns and these columns may be search based columns. Database may incur overload search on fingerprint columns which represent a bottleneck to the system. We proposed a method that convert the fingerprint to text which improves the performance of the system and many more other benefits. Fingerprint image is converted to text which is smaller in size that helps in processing as well as storage space. Smaller size of data also is better in transmission over network. In the term of data encryption, text encryption is easier and has less time complexity than of images.
References
Haonan Su, Dong Zheng, and Hinghui Zhang. “An Efficient and Secure Deduplication Scheme Based on Rabin Fingerprinting in Cloud Storage”. IEEE international Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC). 2017.
J.S. Aafa, S. Soja, "Fingerprint Privacy Protection Techniques: A Comparative Study", International Journal of Computer Sciences and Engineering, Vol.2, Issue.7, pp.86-89, 2014.
Chiung Ching Ho, and C.Eswaran. “Consolidation of Fingerprint Databases: Challenges and Solutions in the Malaysian Context”. International Journal of Computer Information Systems and Industrial Management Applications. Vol 5 . pp. 373-382 , 2013.
Ankita Mehta, and Sandeep Dhariwal. "Design & Implementation of Features based Fingerprint Image Matching System". Vol .2, International Journal of Multidisciplinary and Current Research. 2014.
D Maltoni, D Maio, and S Parbhakar. "Handbook of Fingerprint Recognition". Springer publisher, New York. pp174, 2003, ISBN no 0-387-95431-7
J Kilian, "Advanced in Cryptology - Crypto", Springer publisher, USA, pp447, 2001, ISBN no 0302-9743.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
