Iris recognition has been shown to be very accurate for human identification. In this article, an efficient iris recognition system based on Intersecting Cortical Model (ICM) neural network is presented which includes two parts mainly. The first part is image preprocessing which has three steps. First, iris location is implemented based on local areas. Then the localized iris area is normaliz...

Iris recognition is a biometric system for access control that uses the most unique characteristic of the human body, the iris employed in automated border crossings. This is Local binary pattern (LBP) is used for feature vectors extraction and Learning Vector Quantization (LVQ) performs classification. Here, matching is performed using the hamming distance of iris detections of matching. Iris ...

The paper proposes a new iris coding method based on Zak-Gabor wavelet packet transform. The essential component of the iris recognition methodology design is an effective adaptation of the transformation parameters that makes the coding sensitive to the frequencies characterizing ones eye. We thus propose to calculate the between-to-within class ratio of weakly correlated Zak-Gabor transformat...

Iris recognition is basic technology for personal identification and verification and is most reliable and accurate for biometric identification system. Iris recognition system gives security to the organization and Institutes from the unauthorized access . Digital templates encoded from iris pattern using mathematical and statistical algorithms allow the identification of an individual. In thi...

This paper presents a novel idea based on a kind of structure-based pattern, such as collarette, embedded in human iris for biometric recognition. The feature extraction module traces the collarette. The system encodes the features to generate its iris feature codes. Finally, the recognition module uses these feature codes for iris matching. The experimental results show that the system has an ...

Biometric methods have been played important roles in personal recognition during last twenty years. These methods include the face recognition, finger print and iris recognition. Recently iris imaging has many applications in security systems. The aim of this paper is to design and implement a new iris recognition algorithm. In this paper, the new feature extraction methods according to ridgel...

Applications such as immigration control, aviation security, bank and other financial transactions, access to defence organization requires a more reliable and authentic identification system. Iris is now considered to be one of the most time invariable biometric features of a person for recognition. Several iris recognition techniques were proposed with considerable focus on improving the fals...

Iris-based personal identification has attracted much attention in recent years. Almost all the state-of-the-art iris recognition algorithms are based on statistical classifier and local image features, which are noise sensitive and hardly to deliver perfect recognition performance. In this paper, we propose a novel iris recognition method, using the histogram of local binary pattern for global...

Biometric methods, which identify people based on physical or behavioural characteristics, are of interest because people cannot forget or lose their physical characteristics in the way that they can lose passwords or identity cards. Among these biometric methods, iris is currently considered as one of the most reliable biometrics because of its unique texture‘s random variation. Moreover, iris...