Volume 30, Issue 3, May 2017, Pages 353–356
R. Aasir Allwin1, M. Joanna Felcy2, S. Jothijob3, and N. Bagyalakshmi4
1 UG Student, Department of EIE, Adhiyamaan College of Engineering, Hosur, India
2 UG Student, Department of EIE, Adhiyamaan College of Engineering, Hosur, India
3 UG Student, Department of EIE, Adhiyamaan College of Engineering, Hosur, India
4 Faculty, Department of EIE, Adhiyamaan College of Engineering, Hosur, India
Original language: English
Copyright © 2017 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.
The novel method to recognize the person by the use of finger vein. The steps for the acquired finger vein image normalization, image alignment, and segmentation to effectively minimize resulting intra-class variations in the finger images are also developed. It is combining finger vein. Here comparative evaluation of the proposed fusion approaches with the sum, average, product, weighted sum. The segmentation of the finger vein from the image takes place. The ROI region is extracted, after the extraction of vein pattern by the maximum curvature. From the segmented result the Features for vein image is extracted. The Gabor feature for the input image is used as filter. Gabor filters are similar to those of the human visual system, and they have been found to be particularly appropriate for shape representation and discrimination. It is a linear filter used for edge detection. Finally weighted matching is calculated for the identification.
Author Keywords: human identification, finger vein.
R. Aasir Allwin1, M. Joanna Felcy2, S. Jothijob3, and N. Bagyalakshmi4
1 UG Student, Department of EIE, Adhiyamaan College of Engineering, Hosur, India
2 UG Student, Department of EIE, Adhiyamaan College of Engineering, Hosur, India
3 UG Student, Department of EIE, Adhiyamaan College of Engineering, Hosur, India
4 Faculty, Department of EIE, Adhiyamaan College of Engineering, Hosur, India
Original language: English
Copyright © 2017 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
The novel method to recognize the person by the use of finger vein. The steps for the acquired finger vein image normalization, image alignment, and segmentation to effectively minimize resulting intra-class variations in the finger images are also developed. It is combining finger vein. Here comparative evaluation of the proposed fusion approaches with the sum, average, product, weighted sum. The segmentation of the finger vein from the image takes place. The ROI region is extracted, after the extraction of vein pattern by the maximum curvature. From the segmented result the Features for vein image is extracted. The Gabor feature for the input image is used as filter. Gabor filters are similar to those of the human visual system, and they have been found to be particularly appropriate for shape representation and discrimination. It is a linear filter used for edge detection. Finally weighted matching is calculated for the identification.
Author Keywords: human identification, finger vein.
How to Cite this Article
R. Aasir Allwin, M. Joanna Felcy, S. Jothijob, and N. Bagyalakshmi, “SECURED HUMAN IDENTIFICATION USING FINGER VEIN,” International Journal of Innovation and Scientific Research, vol. 30, no. 3, pp. 353–356, May 2017.
