This paper is published in Volume-4, Issue-3, 2018
Area
Image Processing
Author
Kanchan D. Deshmukh, Hemangi H. Kulkarni
Org/Univ
Gokhale Education Society's R. H. Sapat College of Engineering, Management Studies and Research, Nashik, Maharashtra, India
Keywords
Sclera, Vein pattern, Authentication
Citations
IEEE
Kanchan D. Deshmukh, Hemangi H. Kulkarni. Some studies on sclera vascular pattern recognition, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kanchan D. Deshmukh, Hemangi H. Kulkarni (2018). Some studies on sclera vascular pattern recognition. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Kanchan D. Deshmukh, Hemangi H. Kulkarni. "Some studies on sclera vascular pattern recognition." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Kanchan D. Deshmukh, Hemangi H. Kulkarni. Some studies on sclera vascular pattern recognition, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kanchan D. Deshmukh, Hemangi H. Kulkarni (2018). Some studies on sclera vascular pattern recognition. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Kanchan D. Deshmukh, Hemangi H. Kulkarni. "Some studies on sclera vascular pattern recognition." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Abstract
Sclera vein patterns that reside in the human eyes can be one of the biometric for authentication. These vein patterns are stable and unique. Firstly, Segmentation of sclera region along with veins is carried out using otsu Binarization and Contour method. Edge Histogram Descriptor is used for feature extraction of vein patterns. For classification K-nearest Neighbor method is implemented on wide open eye images of the UBIRIS.v1 database.
