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Mechanism of Fingerprint Conversion to Text

Nashwan Yahya Ali1 , V M Thakare2

  1. School of Computational sciences, S.R.T.M University, Nanded, India.
  2. Department of Computer Science, Sant Gadge Baba Amravati University, Amravati, India.

Correspondence should be addressed to: nashwan.almahbashi@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-9 , Page no. 257-260, Sep-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i9.257260

Online published on Sep 30, 2017

Copyright © Nashwan Yahya Ali, V M Thakare . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Nashwan Yahya Ali, V M Thakare, “Mechanism of Fingerprint Conversion to Text,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.257-260, 2017.

MLA Style Citation: Nashwan Yahya Ali, V M Thakare "Mechanism of Fingerprint Conversion to Text." International Journal of Computer Sciences and Engineering 5.9 (2017): 257-260.

APA Style Citation: Nashwan Yahya Ali, V M Thakare, (2017). Mechanism of Fingerprint Conversion to Text. International Journal of Computer Sciences and Engineering, 5(9), 257-260.

BibTex Style Citation:
@article{Ali_2017,
author = {Nashwan Yahya Ali, V M Thakare},
title = {Mechanism of Fingerprint Conversion to Text},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2017},
volume = {5},
Issue = {9},
month = {9},
year = {2017},
issn = {2347-2693},
pages = {257-260},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1467},
doi = {https://doi.org/10.26438/ijcse/v5i9.257260}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i9.257260}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1467
TI - Mechanism of Fingerprint Conversion to Text
T2 - International Journal of Computer Sciences and Engineering
AU - Nashwan Yahya Ali, V M Thakare
PY - 2017
DA - 2017/09/30
PB - IJCSE, Indore, INDIA
SP - 257-260
IS - 9
VL - 5
SN - 2347-2693
ER -

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Abstract

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.

Key-Words / Index Term

Fingerprint Conversion, Fingerprint Presentation, Minutiae Point, Database Performance

References

[1] 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.
[2] 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.
[3] 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.
[4] Ankita Mehta, and Sandeep Dhariwal. "Design & Implementation of Features based Fingerprint Image Matching System". Vol .2, International Journal of Multidisciplinary and Current Research. 2014.
[5] D Maltoni, D Maio, and S Parbhakar. "Handbook of Fingerprint Recognition". Springer publisher, New York. pp174, 2003, ISBN no 0-387-95431-7
[6] J Kilian, "Advanced in Cryptology - Crypto", Springer publisher, USA, pp447, 2001, ISBN no 0302-9743.