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A Comprehensive Survey on Fingerprint Recognition Systems


  • Department of Computer Science, Bharathiar University, Coimbatore - 641 046, Tamil Nadu, India
  • Department of MCA, STET Women’s College, Mannargudi - 614 016, Tamil Nadu, India


Matching finger prints is the most popular biometric technique used for providing authentication. Fingerprint recognition systems scans for raw image, performs little preprocessing, features are extracted as vectors and stored in fingerprint databases. A review on various aspects of fingerprint recognition systems is presented in this paper. The paper briefs various types of fingerprint patterns, followed by minutiae based approach. Fingerprint ridges called minutiae are able to capture the invariant and discriminatory information present in the fingerprint images. 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. It is important for fingerprint recognition system to use good quality, noise free fingerprint image as input to achieve high accuracy. Various fingerprint image enhancement techniques were also analyzed and discussed in this paper.


Authentication, Biometrics, Fingerprint, Minutiae, Recognition, Wavelet

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  • Jain AK, Feng J, Nandakumar K. Fingerprint Matching. Published by the IEEE Computer Society. 2010 Feb.
  • 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.
  • Al-Ani MS. A Novel Thinning Algorithm for Fingerprint Recognition. International Journal of Engineering Sciences. 2013 Feb; 2(2):43–8.
  • 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
  • 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); Adeliade. 2013.
  • 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.
  • Kute A, Kumar V. Fingerprint Recognition System: A Review. International Journal of Electrical, Electronics and Computer Engineering . 2014; 3(2):61–6.
  • 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.
  • Su C, Srihari S. Evaluation of Rarity of Fingerprints in Forensics. Proceedings of Neural Information Processing Systems, Canada. 2010 Dec 6-9:1–9.
  • Loris N, Lumini A. Local binary patterns for a hybrid fingerprint matcher. Pattern Recognition. 2008 Nov; 41(11):3461–66.
  • Yongwha C, et al. Automatic alignment of fingerprint features for fuzzy fingerprint vault. Information Security and Cryptology. 2005; 3822(12):358–69.
  • Rajbhoj SM, Mane PB. An Improved Binarization based algorithm using minutiae approach for Fingerprint Identification. IJEAT. 2012 Aug; 1(6):219–22.
  • Strasburger H, Rentschler I, Jüttner M. Peripheral vision and pattern recognition: A review. Journal of Vision. 2011 May; 11(5):13.
  • 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.
  • Basha MSB, Ramakrishnan M. Color Image Enhancement based on Daubechie–s Wavelet and HIS Analysis. International Journal of Computer Applications. 2012 Jun; 47(13):8–11.
  • 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.
  • Fernandez FA, Fierrez J, Garcia JO, Rodriguez JG, Fronthaler H, Kollreider K, Bigun J. A comparative study of fingerprint image-quality estimation methods. IEEETransactions on Information Forensics and Security. 2007 Dec; 2(4):734–43.
  • 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.
  • Min BS, Lim DK, Kim SJ, Lee JH. A Novel Method of Determining Parameters of CLAHE Based on Image Entropy. International Journal of Software Engineering (CCECE’2007); Canada. 2007 Apr 22-26. p. 24–7.
  • Selvi PT, Radha N. Multimodal biometrics based authentication against dictionary attacks. International Journalon Computer Science and Engineering. 2010 Dec; 2(8):2652–58.
  • Ahmed RJ. Image enhancement and noise removal by using new spatial filters. U.P.B. Sci. Bull., Series C. 2011; 73(1):65–74.
  • 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. 24–7.
  • Panchal V. A low cost fingerprint recognition system based on wavelet transform. IJETCAS. 2013 Apr; 481–6.


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