Advertisement

Fingerprint Identification and Matching

  • Dama AnandEmail author
  • G. Rama Krishna SrinivasEmail author
  • Amara S. A. L. G. Gopala GuptaEmail author
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)

Abstract

Taking the fingerprints are thought to be the good and quickest strategy for Bio-metric recognizable proof. It can use in secure manner to utilize, remarkable in each individual but don’t effect in through out the life. In Human-Beign the Fingerprints are very important in points of interest called details, which can be utilized as ID marks for security purposes. In this paper it is an investigation and execution of a unique finger impression acknowledgment utilizing picture preparing instrument in MATLAB. The approach predominantly includes extracting the details that focuses through test with different finger prints and after that performing coordinating in light of the quantity of details matching among two fingerprints being referred to. For each undertaking, some traditional and exceptional techniques in literary works are broke down. In view of the examination, a coordinated answer for unique finger impression acknowledgment is created for show. It at last creates a rate of points that it gives the correct information regarding the prints of fingers that it is matching or not.

Keywords

Edge detection Minutiae Fingerprint Prewitt MATLAB 

References

  1. 1.
    Amand E, Anju G (2012) Simulink model based image segmentation. Intellect J Adv Res Comput Sci Softw Eng 2(6)Google Scholar
  2. 2.
    Jain A, Hong L, Boler R (1997) Online fingerprint verification. IEEE trans, PAMI-19(4):302–314Google Scholar
  3. 3.
    Leung WF, Leung SH, Lau WH, Luk A (2000) Fingerprint recognition using neural network. In: Proceedings of the IEEE workshop neural network for signal processing, pp 226–235Google Scholar
  4. 4.
    Lee CJ, Wang SD (1999) Fingerprint feature extraction using Gabor filter. Electroni Lett 35(4):288–290Google Scholar
  5. 5.
    Raymond T (1991) Fingerprint image enhancement and minutiae extraction. Technical report, The University of Western AustraliaGoogle Scholar
  6. 6.
    Tico M, Kuosmanen P, Saarinen J (2001) Wavelet domain features for fingerprint recognition. Electroni Lett 37(1):21–22Google Scholar
  7. 7.
    Yang S, Verbauwhede I (2003) A secure fingerprint matching technique. Wanda Lee, Hong KongCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of CSEKLEFVaddeswaramIndia

Personalised recommendations