Fingerprint usage as a Text and Its Performance on Database

Authors

  • Yahya Ali N School of Computational sciences, S.R.T.M University, Nanded, INDIA

DOI:

https://doi.org/10.26438/ijcse/v7i9.148151

Keywords:

fingerprint conversion, fingerprint presentation, minutiae point, Database performance

Abstract

Database is considered as an essential element in any organization. Many Databases contains columns, dedicated to hold information about fingerprint. Fingerprint can be stored in two ways. We can either store the path of the fingerprint image inside the database or store the fingerprint template itself as binary stream. Sometimes, database is overloaded with many requests on fingerprint column and this degrades the overall performance of the Database. To solve this problem, we take the advantage of Fingerprint conversion to text which relieves the battleneck problem and offers better performance. SQL Server is used to show the difference of Database throughput in both situation, fingerprint as image and fingerprint as text.

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] Wahid Zafar, Tasweer Ahmad, and Muhammad Hassan. “Minutiae Based Fingerprint Matching Techniques”. 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.

[7] Nashwan Yahya Ali1, Dr. V M Thakare "MECHANISM OF FINGERPRINT CONVERSION TO TEXT". IJCSE, 2017.

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Published

2019-09-30
CITATION
DOI: 10.26438/ijcse/v7i9.148151
Published: 2019-09-30

How to Cite

[1]
N. Yahya Ali, “Fingerprint usage as a Text and Its Performance on Database”, Int. J. Comp. Sci. Eng., vol. 7, no. 9, pp. 148–151, Sep. 2019.

Issue

Vol. 7 No. 9 (2019): IJCSE Sept. Edition

Section

Research Article

License

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