Title : 
Ocular detection for biometric recognition
         
        
            Author : 
Ekatpure, Rohit Dattatray ; Narote, Sandipan Pralhad
         
        
            Author_Institution : 
Dept. E&T.C, Sinhgad Coll. of Eng., Pune, India
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Image Information Processing (ICIIP), 2013 IEEE Second International Conference on
         
        
            Conference_Location : 
Shimla
         
        
            Print_ISBN : 
978-1-4673-6099-9
         
        
        
            DOI : 
10.1109/ICIIP.2013.6707674