Open Access Open Access  Restricted Access Subscription or Fee Access

Investigation on Various Finger Print Recognition Techniques in Image Processing

K. Nirmalakumari, T. Revathi, S. Sadhana

Abstract


Fingerprint Recognition is the process of verifying a match between two human fingerprints. It is the most sophisticated method of all bio-metric techniques. Fingerprint recognition method is varied for different applications.  Fingerprints remain unchanged for lifetime and are unique for each person. In this paper survey is done on fingerprint recognition techniques. Fingerprint recognition or fingerprint authentication refers to the automated method of verifying a match between two human fingerprints. Fingerprint is most popular biometric, and minutiae matching is used for the fingerprint matching. The matching algorithm may use the local or global or the scale invariant information. However, the technique providing fewer false matching with high accuracy consumes a large amount of processing time.

Keywords


Fingerprint Recognition, Image Segmentation, Feature Extraction, Minutiae Matching, Pattern Matching, Recognition.

Full Text:

PDF

References


Chu-Chiao Liao and Ching-Te Chiu have proposed on paper, “Fingerprint Recognition with Ridge Features and Minutiae on Distortion”, ICASSP2016, pp.2109-2113.

Adhiyaman M and Ezhilmaran D,” Fingerprint Matching and Similarity Checking System using Minutiae Based Technique”, IEEE (ICETECH), 2015, Coimbatore, TN, India..

Sangram Bana and Dr.Davinder Kaur, “Fingerprint Recognition using Image Segmentation” (IJAEST), Vol No.5, Issue No.1 ,2014,pp-012-023.

Omid Zanganeh, Bala Srinivasan, Nandita Bhattacharjee,"Fingerprint Matching through Region-Based Similarity", IEEE 2014.

Monika and Mukesh Kumar, “Fingerprint Minutiae Matching Using LBP”, IEEE, 2014.

Jin Fei Lim, Renee Ka Yin Chin,"Fingerprint Recognition Using Minutiae-Based and Image-Based Matching Techniques",DOI 10.1109/AIMS 2013.48, pp-261-266.

Iwasokun Gabriel Babatunde, “Fingerprint Matching Using Minutiae-singular Points Network”, 2015.

Neeraj Kamboj and Veena Rani,”Design & Implementation of Fingerprint Biometrics based on Discretized Fingerprint Texture Descriptor”, ISSN (Online)Vol No.3 ,Issue .6 ,June,2015,pp-5463-5461.

Ms. Apurva N. Ganar, , Ms. Priyanka 4L. Ikha, Ms. Rachana Borghate and Ms. Kumudini Borkute,”FingerPrint Recognition System using MATLAB”, Vol 3,Issue .6,June 2015, pp-72-75.

S. K. D. R, R. K. Chhotaray, K. B. Raja, and S. Pattanaik, “Fingerprint Verification based on Fusion of Minutiae and Ridges using Strength Factors,” International Journal of Computer Applications, vol. 4, pp. 0975-8887, Jul. 2010.

P. I. Mistry and C. N. Paunwala, “Fusion Fingerprint Minutiae Matching System for Personal Identification,” Computing Communication and Networking Technologies (ICCCNT), 2013 Fourth International Conference On. IEEE, Jul. 2013.

S. Bana and D. Kaur, “Fingerprint Recognition Using Image Segmentation,” International Journal of Advanced Engineering Sciences and Technologies, vol. 5, pp. 012 – 023, 2011.

L. Xiuyan, M. Changyun, L. Tiegen and Y. Chenhu, "Research on personal identity verification based on hand vein iris and fingerprint," Computer Science and Society (ISCCS), 2011 International Symposium on. IEEE, pp. 16-19, 2011.

Virginia Espinosa-Duro, Minutiae Detection Algorithm for Fingerprint Recognition, EUPMt-UPC (Polytechnic University of Catalonia), 2006.

Aliaa A.A. Youssif, Morshed U. Chowdhury, Sid Ray and Howida Y oussry Nafaa, Fingerprint Recognition System Using Hybrid Matching Techniques Helwan University, Cairo, Egypt.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.