Open Access   Article Go Back

A Survey on Fingerprint Recognition System

Anchal Bansal1 , Shakti Arora2 , Surjeet Singh3

  1. CSE Department, Panipat Institute of Engineering and Technology, Kurukshetra University, Panipat, India.
  2. CSE Department, Panipat Institute of Engineering and Technology, Kurukshetra University, Panipat, India.
  3. CSE Department, Panipat Institute of Engineering and Technology, Kurukshetra University, Panipat, India.

Section:Survey Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 1192-1197, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.11921197

Online published on May 31, 2018

Copyright © Anchal Bansal, Shakti Arora, Surjeet Singh . 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.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Anchal Bansal, Shakti Arora, Surjeet Singh, “A Survey on Fingerprint Recognition System,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.1192-1197, 2018.

MLA Style Citation: Anchal Bansal, Shakti Arora, Surjeet Singh "A Survey on Fingerprint Recognition System." International Journal of Computer Sciences and Engineering 6.5 (2018): 1192-1197.

APA Style Citation: Anchal Bansal, Shakti Arora, Surjeet Singh, (2018). A Survey on Fingerprint Recognition System. International Journal of Computer Sciences and Engineering, 6(5), 1192-1197.

BibTex Style Citation:
@article{Bansal_2018,
author = {Anchal Bansal, Shakti Arora, Surjeet Singh},
title = {A Survey on Fingerprint Recognition System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {1192-1197},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2131},
doi = {https://doi.org/10.26438/ijcse/v6i5.11921197}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.11921197}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2131
TI - A Survey on Fingerprint Recognition System
T2 - International Journal of Computer Sciences and Engineering
AU - Anchal Bansal, Shakti Arora, Surjeet Singh
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 1192-1197
IS - 5
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
697 359 downloads 284 downloads
  
  
           

Abstract

Fingerprint Matching is a prevailing biometric technique used for providing authentication. In Fingerprint recognition systems a raw image is scanned, then pre-processing is performed, features are extracted as vectors and stored in fingerprint databases. In this paper, a review of different features of fingerprint recognition systems is presented. A brief of different types of fingerprint patterns followed by minutiae based approach is given in this paper. The invariant and discriminatory information present in the fingerprint images are captured using fingerprint ridges known as minutiae. Pattern recognition based approach is also studied followed by wavelet based approaches. The challenges and issues relating to fingerprint recognition system are critically reviewed in this paper. A good quality, noise free image should be used as input in fingerprint recognition system to achieve high accuracy. Different fingerprint image enhancement techniques are also analyzed and discussed in this paper.

Key-Words / Index Term

Authentication, ,Recognition, Biometrics, Fingerprint, Minutiae

References

[1] Jain AK, Feng J, Nandakumar K. Fingerprint Matching. Published by the IEEE Computer Society. 2010 Feb.
[2] Amandeep Kaur Bhatia and Harjinder Kaur, “Security and Privacy in Biometrics: A Review”, International Journal of Scientific Research in Computer Science and Engineering, Voume-1 , Issue-2 , pp.1,2013
[3] Nitin Tiwari, “An Overview and AnalysisBased on Biometric Framework Technique and Fingerprint Biometric Technology”, International Journal of Scientific research in Computer Science and Engineering, Vol. 5, Issue 6, pp.1, 2017
[4] Davis D, Higgins P, Kormarinski P, Marques J, Orlans N, Wayman J. MITRE TECHNICAL REPORT - State of the Art Biometrics Excellence Roadmap. Technology Assessment: Fingerprint, Palm print, Vascular, Standards. 2008 Oct; 1(3):357–60
[5] Mikhail K, Dremin A, Leshko A. Fingerprint identification algorithm based on Delaunay triangulation and cylinder codes. 11th International Conference Pattern Recognition and Image Analysis (PRIA-11-2013); Adelaide. 2013.
[6] Kimmins JP, Rempel RS, Welhamm CVJ, Seely B, Rees KCJ. Biophysical sustainability, process-based monitoring and forest ecosystem management decision support systems. Canadian Institute of Forestry. 2007 Aug; 83(4):502–14.
[7] Kute A, Kumar V. Fingerprint Recognition System: A Review. International Journal of Electrical, Electronics and Computer Engineering . 2014; 3(2):61–6.
[8] A.L.H. Jin A. Chekima J.A. Dargham, “Fingerprint identification and recognition using backpropagation neural network”, Research and Development, 2002. SCOReD 2002. Student Conference, Malaysia,2002
[9] H. Xu, Raymond N.J. Veldhuis, Tom A.M. Kevenaar, Ton A.H.M. Akkermans, “A Fast Minutiae-Based Fingerprint Recognition System”,IEEE systems journal,volume 3, Issue 4, 2009
[10] Le Hoang Thai and Ha Nhat Tam ,”Fingerprint recognition using standardized fingerprint model”, IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 3, No 7, May 2010
[11] Ramaswamy G, Sreenivasarao V, Ramesh P, Kiran DR. A Novel Approach for Human Identification through Fingerprints. International Journal of Computer Applications (0975 –8887). 2010 Jul; 4(3):169–73.
[12] Prabhu RR, Ravikumar CN. A Novel Extended Biometric Approach for Human Character Recognition using Fingerprints. International Journal of Computer Applications (0975–8887). 2013 Sep; 77(1):37–44.
[13] Su C, Srihari S. Evaluation of Rarity of Fingerprints in Forensics. Proceedings of Neural Information Processing Systems, Canada. 2010 Dec 6-9:1–9.
[14] Loris N, Lumini A. Local binary patterns for a hybrid fingerprint matcher. Pattern Recognition. 2008 Nov; 41(11):3461–66.
[15] Yonghwa C, et al. Automatic alignment of fingerprint features for fuzzy fingerprint vault. Information Security and Cryptology. 2005; 3822(12):358–69.
[15] Rajbhoj SM, Mane PB. An Improved Binarization based algorithm using minutiae approach for Fingerprint Identification. IJEAT. 2012 Aug; 1(6):219–22.
[16] Strasburger H, Rentschler I, Jüttner M. Peripheral vision and pattern recognition: A review. Journal of Vision. 2011 May; 11(5):13.
[17] Badwer IKSB, Kaur S. Image Denoising using different Wavelet Transforms with Hard and Soft Thresholding. International Journal of Advanced Research in Computer Science and Software Engineering. 2014 Aug; 4(8):153246.
[18] Basha MSB, Ramakrishnan M. Color Image Enhancement based on Daubechies Wavelet and HIS Analysis.International Journal of Computer Applications. 2012 Jun; 47(13):8–11.
[19] Rini, D.P., Shamsuddin, S.M. & Yuhaniz, "Particle swarm optimization for ANFIS interpretability and accuracy",S.S. Soft Comput (2016)
[20] U. Hany and L. Akter, "Speeded-Up Robust Feature extraction and matching for fingerprint recognition," 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), Dhaka, 2015, pp. 1-7.
[21] Singh J, Yashika. A Study of Optimistic Approaches and Applications of Biometric Systems. National Conference on Synergetic Trends in Engineering and Technology (STET-2014) International Journal of Engineering and Technical Research. 2014 Apr; 31–4.
[22] Ahmed RJ. Image enhancement and noise removal by using new spatial filters. U.P.B. Sci. Bull., Series C. 2011; 73(1):65–74.
[23] Basha MS, Ramakrishnan M. Color Image Contrast Enhancement using Daubechies D4 Wavelet and Luminance Analysis. International Journal of Computer Applications 2014 Jan; 86(6):6–10.
[24] Doutre C, Nasiopoulos P. An efficient compression scheme for colour filter array images using estimated colour differences. Electrical and Computer Engineering (CCECE 2007); Canada. 2007 Apr 22–26. P.
[25] Hui Chen, Jianping Yin, Xin Shu, Chunfeng Hu and Yong Li, "An orientation-based ridge descriptor for fingerprint image matching," 2010 International Conference On Computer Design and Applications, Qinhuangdao, 2010, pp. V1-288-V1-292.
[26] Fernández FA, Fierrez J, Garcia JO, Rodriguez JG, Fronthaler H, Kollreider K, Bigun J. A comparative study of fingerprint image-quality estimation methods. IEEE P. Pakutharivu and M. V. Srinath Vol 8 (35) | December 2015 | www.indjst.org Indian Journal of Science and Technology 7 Transactions on Information Forensics and Security. 2007 Dec; 2(4):734–43.