Ocular detection for biometric recognition

Author

Ekatpure, Rohit Dattatray ; Narote, Sandipan Pralhad

Author_Institution

Dept. E&T.C, Sinhgad Coll. of Eng., Pune, India

fYear

2013

fDate

9-11 Dec. 2013

Firstpage

644

Lastpage

648

Abstract

Ocular biometric has created vital progress over past decade among the all biometric trains. The white region of eye is sclera, which is exposed. The sclera is roofed by the thin clear wet layer referred as conjunctiva. Conjunctiva and episclera contains the blood vessels. Our aim is to segment the sclera patterns from the eye footage. This paper focuses on the detection of ocular region from the eye image, enhancement of blood vessels and feature extraction. The features extracted from ocular regions are used for biometric recognition.

Keywords

blood vessels; feature extraction; image enhancement; image segmentation; iris recognition; biometric trains; blood vessel enhancement; conjunctiva; episclera; eye footage; eye image; feature extraction; ocular biometric recognition; ocular detection; ocular region detection; sclera pattern segmentation; thin clear wet layer; white eye region; Biomedical imaging; Blood vessels; Conferences; Feature extraction; Image segmentation; Iris; Noise; Biometrics; ocular pattern; sclera and conjunctival vasculature;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Information Processing (ICIIP), 2013 IEEE Second International Conference on

Conference_Location

Shimla

Print_ISBN

978-1-4673-6099-9

Type

conf

DOI

10.1109/ICIIP.2013.6707674

Filename

6707674