Title :
A novel approach for code match in iris recognition
Author :
Zhou, Shiyu ; Junping Sun
Author_Institution :
Grad. Sch. of Comput. & Inf. Sci., Nova Southeastern Univ., Fort Lauderdale, FL, USA
Abstract :
Although there have been significant advancements in developing iris-based identification processes during recent years, there remains significant room for improvement. This paper presents an automatic iris recognition system including a novel approach to the iris localization and k-d tree code matching. In order to compare the k-d tree code-matching method proposed in this research, we have implement some of algorithms used in Iris recognition for the purposes of experiments and comparisons and achieved satisfactory results.
Keywords :
image coding; image matching; iris recognition; trees (mathematics); automatic iris recognition system; iris localization; iris-based identification processes; k-d tree code matching approach; k-d tree code-matching method; Eyelids; Feature extraction; Hamming distance; Image edge detection; Iris; Iris recognition; Vectors; Iris Code Matching; Iris Recognition; K-D Tree based Verification and Identification;
Conference_Titel :
Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
Conference_Location :
Niigata
DOI :
10.1109/ICIS.2013.6607828
