A Review On Finger Print Detection Technique
V K Choudhary1 , Krishna Malik2
Section:Review Paper, Product Type: Journal Paper
Volume-6 ,
Issue-6 , Page no. 428-432, Jun-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i6.428432
Online published on Jun 30, 2018
Copyright © V K Choudhary, Krishna Malik . 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
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: V K Choudhary, Krishna Malik, “A Review On Finger Print Detection Technique,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.428-432, 2018.
MLA Style Citation: V K Choudhary, Krishna Malik "A Review On Finger Print Detection Technique." International Journal of Computer Sciences and Engineering 6.6 (2018): 428-432.
APA Style Citation: V K Choudhary, Krishna Malik, (2018). A Review On Finger Print Detection Technique. International Journal of Computer Sciences and Engineering, 6(6), 428-432.
BibTex Style Citation:
@article{Choudhary_2018,
author = {V K Choudhary, Krishna Malik},
title = {A Review On Finger Print Detection Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {428-432},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2200},
doi = {https://doi.org/10.26438/ijcse/v6i6.428432}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.428432}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2200
TI - A Review On Finger Print Detection Technique
T2 - International Journal of Computer Sciences and Engineering
AU - V K Choudhary, Krishna Malik
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 428-432
IS - 6
VL - 6
SN - 2347-2693
ER -
VIEWS | XML | |
1672 | 378 downloads | 219 downloads |
Abstract
Fingerprint analysis is the most essential part of human identification or human recognition. The biometric technique has been used to eye, facial, speech for recognition etc. In this paper we have discussion about the working of biometric system, pattern recognition. Review about the various technique used in finger print matching, image segmentation and its application. To mark the fingerprint from the image processing of Euclidean distance is required which will learn from the previous values and drive new values on the basis of current situations. In this paper, various techniques of image segmentation and fingerprint matching has been reviewed and discussed in terms of their outcomes.
Key-Words / Index Term
Correlation, Minutiae, Gabor Filters, Neural Network
References
[1] Umesh Singh Tomar, Abhinav Vidwans, “A Review of Fingerprint Recognition by Minutiae’s Analysis” in IJEAIS (International Journal of Engineering and Information Systems) Issues, Vol. 1 Issue 8, ISSN: 2000-000X, October – 2017.
[2] Heli Shah, Rajat Arora, “A Machine Learning Approach for Enhanced Fingerprint Recognition Technique” in IJCA (International Journal of Computer Applications) Issues, Volume 176 – No, October 2017.
[3] Farah Dhib Tatar and Mohsen Machhout, “Improvement of the fingerprint recognition process” in IJBB (International Journal on Bioinformatics & Biosciences) Issues, Vol.7, No.2, June 2017
[4] D Sai Gowtham, D Lakshmana Rao, D Lavanya and D Laxmi Mounika, “Fingerprint Recognition Using Minutiae Extraction” in (SSRG International Journal of Electronics and Communication Engineering) Issues, ISSN: 2348 – 8549, March 2017
[5] Saloni Lamba1, Paru Raj2, “Edge Detection using Average filter & Thresholding” in (International Journal of Engineering and Computer Science) Issues, ISSN:2319-7242, Volume 6 Issue, 9 September 2017.
[6] Ritu Bhargava, Anchal Kumawat Neeraj Bhargava, “Fingerprint Matching of Normalized Image based on Euclidean Distance”, IJCA (International Journal of Computer Applications) Issue, Volume 120 – No.24, June2015.
[7] Neeraj Bhargava, Anchal Kumawat, Ritu Bhargava, “Fingerprint Matching of Normalized Image based on Euclidean Distance” in (International Journal of Computer Applications) Issue,Volume 120 – No.24, June 2015.
[8] Farah Dhib Tatar1 And Mohsen Machhout2, “Improvement Of The Fingerprint Recognition Process”, IJBB (International Journal on Bioinformatics & Biosciences) Issue, Vol.7, No.2, June2017
[9] S.Mahalakshmi, Prabha.M.Karani, “ Study Of Edge Detection Techniques In Automatic License Plate Recognition”, in IRJET ( International Research Journal of Engineering and Technology) Issues, ISSN: 2395 -0056, Volume-04,Apr-2017.
[10] Neha Yadav, “Image Segmentation of Color Image using Threshold Based Edge Detection Algorithm in MatLab”in IJIACS (International Journal of Innovations & Advancement in Computer Science) Issues, ISSN 2347 – 8616 Volume 6, Issue2,February2017.
[11] Heli Shah, Rajat Arora, “A Machine Learning Approach for Enhanced Fingerprint Recognition Technique”,IJCA (International Journal of Computer Applications) Issue,ISSN0975 – 8887 Volume176, No.6, October 2017