Iris segmentation is one of the most important steps in an iris recognition system. Its accuracy can directly affect the recognition accuracy. For non-cooperative users, the obtained images often do not have good quality. Under such conditions, the iris may be deformed, out-of-focus, or motion blurred. Sometimes, images do not have a valid iris. It is very challenging to segment the iris effici...

Iris Recognition is considered as the best among all the biometric security due to its high recognition rate, iris is unique for every human and even uncorrelated for twins. The proposed document focuses on implementing the iris recognition in online payment system by this users identity is more secured. Increase in the credit card fraudulent thefts needs further security for protecting them fr...

Iris recognition, a biometric technique used in high profile applications such as border crossing systems, single factor identity verification for the ATM users, India’s Aadhaar project, Airport security. Its robustness and unobtrusiveness make it superior entrant to reinstate most of the security system around. Iris recognition is listed as a high confidence biometric identification system as ...

The last six years witnessed important advances in applying iris based biometric systems for military and civil security purposes. The fundamental aspect of this progress is the development of biometric algorithms able to produce high confidence personal identification without human interaction. The majority of such biometric algorithms use iris video as a better representation of special prope...

With an increasing emphasis on security, Iris recognition has gained a great attention in both research and practical applications over the past decade. The demand for iris recognition in the various fields of access control reducing fraudulent transactions in electronic commences, security at border areas etc is increasing day by day due to its high accuracy, reliability and uniqueness. It is ...

Iris recognition has received increasing attentions due to its distinct characteristics in recent years. An efficient approach for iris feature extraction plays a very important role in an iris recognition system. In this paper, we developed a novel method for iris feature extraction utilizing the Intersecting Cortical Model (ICM) network which is a simplified model of Pulse-Coupled Neural Netw...

In general iris recognition algorithms restrict to extracting distinct features out of preprocessed iris images in order to create user-specific iris-codes, neglecting potential improvements in matching procedures. In this work we propose a new way of matching iris-codes. By exploiting local information of extracted iris-codes a context-based matching is performed. The matching procedure is app...

Iris recognition is one of the most accurate biometric methods in use today. However, the iris recognition algorithms are currently implemented on general purpose sequential processing systems, such as generic central processing units (CPUs). One of the remaining problems in iris recognition is the implementation of its efficient hardware systems. This proposed work uses a hardware Beagleboard-...