Volume 10, Issue 2, October 2014, Pages 458–465
Anju Mohan1 and Prof. Shilpa P. Kodgire2
1 Electronics & Communication Department, M.I.T College, Aurangabad, BAMU, Maharashtra, India
2 Associate professor, Electronics & Communication Department, M.I.T College, Aurangabad, BAMU, Maharashtra, India
Original language: English
Copyright © 2014 ISSR Journals. 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.
Fingerprint recognition is the reliable and oldest biometrics used for personal identification. Many sensors were developed for fingerprint recognition systems in which the user's finger print is placed on a sensor. Due to this contact the input fingerprint from the same finger can be different and there can be fingerprint issues which can lead to forgery and hygienic problem. For this reason touchless fingerprint recognition has been developed in which the fingerprint is acquired using a high resolution webcam. The acquired images are subjected to pre-processing steps and the region of interest is extracted. Minutia features are extracted from the fingerprint image and matching is based on the number of minutia pairings among two fingerprints to be matched. The project is coded in Matlab.
Author Keywords: Biometric, Fingerprint, Minutia, Crossing Number, FAR, FRR.
Anju Mohan1 and Prof. Shilpa P. Kodgire2
1 Electronics & Communication Department, M.I.T College, Aurangabad, BAMU, Maharashtra, India
2 Associate professor, Electronics & Communication Department, M.I.T College, Aurangabad, BAMU, Maharashtra, India
Original language: English
Copyright © 2014 ISSR Journals. 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.
Abstract
Fingerprint recognition is the reliable and oldest biometrics used for personal identification. Many sensors were developed for fingerprint recognition systems in which the user's finger print is placed on a sensor. Due to this contact the input fingerprint from the same finger can be different and there can be fingerprint issues which can lead to forgery and hygienic problem. For this reason touchless fingerprint recognition has been developed in which the fingerprint is acquired using a high resolution webcam. The acquired images are subjected to pre-processing steps and the region of interest is extracted. Minutia features are extracted from the fingerprint image and matching is based on the number of minutia pairings among two fingerprints to be matched. The project is coded in Matlab.
Author Keywords: Biometric, Fingerprint, Minutia, Crossing Number, FAR, FRR.
How to Cite this Article
Anju Mohan and Prof. Shilpa P. Kodgire, “Touchless Fingerprint recognition using MATLAB,” International Journal of Innovation and Scientific Research, vol. 10, no. 2, pp. 458–465, October 2014.
