A SURVEY ON FINGERPRINT PATTERN RECOGNITION

Swarnadip Dey; Sajal Kumar Karmakar; Surajit Goon; Prianka Kundu

doi:10.29121/granthaalayah.v7.i8.2019.704

Authors

Swarnadip Dey Department of Computer Application, Eminent College of Management & Technology, Barasat, Kolkata, West Bengal 700126, India
Sajal Kumar Karmakar Department of Computer Application, Eminent College of Management & Technology, Barasat, Kolkata, West Bengal 700126, India
Surajit Goon Department of Computer Application, Eminent College of Management & Technology, Barasat, Kolkata, West Bengal 700126, India
Prianka Kundu Department of Computer Application, Eminent College of Management & Technology, Barasat, Kolkata, West Bengal 700126, India

DOI:

https://doi.org/10.29121/granthaalayah.v7.i8.2019.704

Keywords:

Biometric Recognition, Plain Whorl, Ulnar Loop, Plain Arch

Abstract [English]

In this advance technical time, we all need accuracy to any security system. Among all security system, biometric recognition process is very popular in that time. Not only security purpose, identification is the main cause of using biometric characteristic. A pin, password combination is not enough to secure all things because that’s tracking is possible, but a person biometric characteristic is unique, so it is near to impossible to by-pass. In this paper, we discuss about the fingerprint types such as arch, loop, and whorl. We also discuss how the fingerprint will be recognized; however, where this technique is used in very large scale and what is the future scope of this technique, we discuss what improvement is needed in future.

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References

Mridula, Priyanka Electronics and communication EnggDeptt, Deen bandhu Chhotu Ram University of Science and Technology, Murthal, India, “A Review on Classification of Fingerprint Images”, Volume 9, Issue 3, Ver. III (May - Jun. 2014), PP 61-66.

Bandameedi Lakshmi Narayana1, YerukalaKomeraChinna Rangaiah2, Mohammed Abdul Khalid3,” Study of Fingerprint Patterns in Relation to Gender and Blood Group”, volume 5, issue 14.

Siddapur R K, “Study on the Relationship between Fingerprint Pattern and Intellectual Performance”, International Journal of Medical Toxicology and Forensic Medicine. 2017;7(1): 26-31

Chih-Jen Lee and Sheng-De Wang Dept. of Electrical Engineering EE Building, Rm. 441 National Taiwan University Taipei 106, Taiwan. “A Gabor Filter-Based Approach to Fingerprint Recognition”.

Michael M. S. Chong, Tan Han Ngee, Liu JunAnd Robert K. L. Gay, “Geometric Framework For Fingerprint Image Classification”, Pattern Recognition, Vol. 30, No. 9, pp. 1475-1488, 1997.

Tsai-Yang Jea∗, VenuGovindaraju, “Aminutia-based partial fingerprint recognition system”, Center for Unified Biometrics and Sensors, University at Buffalo, State University of New York, Amherst, NY 14228, USA.

Lidong Wang1, *, Cheryl Ann Alexander2, “Fingerprint Patterns and the Analysis of Gender Differences in the Patterns Based on the U Test”, International Transaction of Electrical and Computer Engineers System, 2014, Vol. 2, No. 3, 88-92.

Shahzad Memon, Mojtaba Sepasian, Wamadeva Balachandran, “Review of Finger Print Sensing Technologies”.

A.J. Willis*, L. Myers, “A cost-e!ective "ngerprint recognition system for use with low-quality prints and damaged "ngertips”.

AjinkyaKawale, “Fingerprint based locking system”, International Journal of Scientific & Engineering Research, Volume 4, Issue 5, May-2013.

Assiya Utzhanova1, “Fingerprint Technology and Sustainable Development”, European Journal of Sustainable Development (2016), 5, 4, 325-334. DOI: https://doi.org/10.14207/ejsd.2016.v5n4p325

Arent de Jongh, 1 Ph.D.; Anko R. Lubach, 1; Sheryl L. Lie Kwie, 1 M.A.; and Ivo Alberink, 1 Ph.D.,” Measuring the Rarity of Fingerprint Patterns in the Dutch Population Using an Extended Classification Set”, J Forensic Sci, January 2019, Vol. 64, No. 1. DOI: https://doi.org/10.1111/1556-4029.13838

Almas M. N. Siddiqui1, Rupali Telgad2, Savita Lothe3, Dr. P. D. Deshmukh1, “Fingerprint Recognition System for Person Identification Using Termination and Bifurcation Minutiae”, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p-ISSN: 2278-8727, PP 33-38

Mr. Kannan Subramanian1, “Image Based Fingerprint Verification”, Vol. 2, Issue 5, May 2014.

Chandana, Surendra Yadav, PhD, Manish Mathuria, "Fingerprint Recognition based on Minutiae Information", International Journal of Computer Applications (0975 – 8887), Volume 120 – No.10, June 2015 DOI: https://doi.org/10.5120/21265-3862

Shilpa Shrivastava1, "Biometric: Types and its Applications".

T. Sabhanayagam1, Dr. V. Prasanna Venkatesan2 and Dr. K. Senthamaraikannan3, "A Comprehensive Survey on Various Biometric Systems", International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 5 (2018) pp. 2276-2297.

Kaoru UCHIDA, "Fingerprint identification", NEC journal of advance technology, volume 2, no 1.

JinweiGu, "Fingerprint Recognition by Combining Global Structure and Local Cues", IEEE transactions on image processing, vol. 15, no.7, july 2006. DOI: https://doi.org/10.1109/TIP.2006.873443

T. Amornraksa and S. Tachaphetpiboon, "Fingerprint recognition using DCT features", Institute of Engineering & Technology Volume 42, Issue 9. DOI: https://doi.org/10.1049/el:20064330

Pierre Baldi, Yves Chauvin, "Neural Networks for Fingerprint Recognition", Neural Computation · May 1993 DOI: https://doi.org/10.1162/neco.1993.5.3.402

Louis coetzee and elizabeth c. botha, "fingerprint recognition in low quality images ", Pattern Recognition, Vol. 26, No. 10, pp. 1441 1460, 1993.

Faisal Farooq, Ruud M. Bolle, Tsai-Yang Jea and NaliniRatha, "Anonymous and Revocable Fingerprint Recognition ", IEEE Conference on Computer Vision and Pattern Recognition, 17-22 June 2007. DOI: https://doi.org/10.1109/CVPR.2007.383382

Marius Tico, EeroImmonen, Pauli Ramo, Pauli Kuosmanen, and Jukka Saarinen, "fingerprint recognition using wavelet features, The 2001 IEEE International Symposium on, Volume: 2.

andrew k. hrechak and james a. mchugh," automated fingerprint recognition using structural matching", Pattern Recognition, Vol .23, No .8, pp, 893 904, 1990. DOI: https://doi.org/10.1016/0031-3203(90)90134-7

Koichi Ito†, Ayumi Morita†, Takafumi Aoki†, Tatsuo Higuchi‡, Hiroshi Nakajima$, and Koji Kobayashi$, "A Fingerprint Recognition Algorithm Using Phase-Based Image Matching for Low-Quality Fingerprints, IEEE International Conference on Image Processing 2005

emanuela marasco, arun ross, "A Survey on Antispoofing Schemes for Fingerprint Recognition Systems", ACM Computing Surveys, Vol. 47, No. 2, Article 28. DOI: https://doi.org/10.1145/2617756

MunishKumar1, Priyanka2, "Fingerprint Recognition System: Issues and Challenges", ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 6.887 Volume 6 Issue II, February 2018.

Dibyendu Nath1, Saurav Ray2, Sumit Kumar Ghosh3, "Fingerprint Recognition System: Design & Analysis".

Anil K. Jain, Fellow, IEEE, and JianjiangFeng, Member, IEEE, "Latent Fingerprint Matching".

Lidong Wang1, *, Cheryl Ann Alexander2, "Fingerprint Patterns and the Analysis of Gender Differences in the Patterns Based on the U Test", International Transaction of Electrical and Computer Engineers System, 2014, Vol. 2, No. 3, 88-92.

Asan Baker Kanbar, "Fingerprint Identification for Forensic Crime Scene Investigation ", Asan Baker Kanbar, International Journal of Computer Science and Mobile Computing, Vol.5 Issue.8, August- 2016, pg. 60-65.