Comparison of Various Segmentation Techniques in Iris Recognition: Case Study - Couverture souple

Verma, Prateek; Dubey, Maheedhar; Verma, Praveen

 
9783659135972: Comparison of Various Segmentation Techniques in Iris Recognition: Case Study
Couverture souple
ISBN 10 : 3659135976 ISBN 13 : 9783659135972
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Iris recognition is regarded as the most reliable and accurate biometric identification system available. Iris recognition system captures an image of an individual’s eye, the iris in the image is then segmented and normalized for feature extraction process. The performance of iris recognition systems highly depends on segmentation. Segmentation is used to locate the correct iris region in an eye and it should be done accurately and correctly to remove the eyelids, eyelashes, reflection and pupil noises present in iris region.In our book we are comparing two segmentation methods namely, Daughman’s algorithm and Hough Transform. Iris images are selected from the CASIA Database, then the iris and pupil boundary are detected from rest of the eye image, removing the noises.The segmented iris region was normalized to eliminate dimensional inconsistencies between iris regions by using Daugman’s Rubber Sheet Model.A comparative analysis is made of the two methods to find out the better method.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Iris recognition is regarded as the most reliable and accurate biometric identification system available. Iris recognition system captures an image of an individual’s eye, the iris in the image is then segmented and normalized for feature extraction process. The performance of iris recognition systems highly depends on segmentation. Segmentation is used to locate the correct iris region in an eye and it should be done accurately and correctly to remove the eyelids, eyelashes, reflection and pupil noises present in iris region.In our book we are comparing two segmentation methods namely, Daughman’s algorithm and Hough Transform. Iris images are selected from the CASIA Database, then the iris and pupil boundary are detected from rest of the eye image, removing the noises.The segmented iris region was normalized to eliminate dimensional inconsistencies between iris regions by using Daugman’s Rubber Sheet Model.A comparative analysis is made of the two methods to find out the better method.

Biographie de l'auteur

Prateek Verma, completed Bachelor of Engineering in Electronics & Telecommunication Engineering from BIT Durg. He has published different research papers in International Journals and participated in various International conferences.He has also worked as an Assistant System Engineer in TATA Consultancy Services.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659135976
ISBN 13 
9783659135972
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne