Iris is a physiological biometric trait, which is unique among all biometric traits to recognize person effectively. In this paper we propose Multi-scale Independent Component Analysis (ICA) based Iris Recognition using Binarized Statistical Image Features (BSIF) and Histogram of Gradient orientation (HOG). The Left and Right portion is extracted from eye images of CASIA V 1.0 database leaving ...

Biometric recognition refers to the process of matching an input biometric to stored biometric information. In particular, biometric verification refers to matching the live biometric input from an individual to the stored biometric template about that individual. Examples of biometrics include face images, fingerprint images, iris images, retinal scans, etc. Thus, image processing techniques p...

Biometric techniques are gaining importance for personal authentication and identification as compared to the traditional authentication methods. Biometric templates are vulnerable to variety of attacks due to their inherent nature. When a person’s biometric is compromised his identity is lost. In contrast to password, biometric is not revocable. Therefore, providing security to the stored biom...

Biometric security systems that verify a person’s identity by scanning fingers, hands, eye or face are becoming more and more common. As a result biometrics is one of the fastest growing industries. Applications for biometrics range from homeland security (for example the European biometric passport), physical access to various facilities (banks, amusement parks, office buildings, computer term...

With the growth of information technology there is a greater need of high security, so biometric authentication systems are gaining importance. Face recognition is more used because it’s easy and non intrusive method during acquisition procedure. Various methods are used for facial recognition. Principal component analysis (PCA) based systems are used often. In this paper we study 4 distance me...

Human gait recognition is a developing biometric engineering now a days. It perceives the individual from its walk and above all from a distance without subject’s cooperation. As human gait recognition system is influenced by diverse view variations effects. So, in this paper we have proposed a human gait recognition strategy for the images caught from distinctive viewing edges (0, 45, 90 degre...

Abstract In 1999 Juels and Wattenberg introduced the fuzzy commitment scheme. Fuzzy commitment is a particular realization of a binary biometric secrecy system with a chosen secret key. Three cases of biometric sources are considered, i.e. memoryless and totally-symmetric biometric sources, memoryless and input-symmetric biometric sources, and memoryless biometric sources. It is shown that fuzz...

The paper presents a multimodal approach for biometric authentication, based on multiple classifiers. The proposed solution uses a post-classification biometric fusion method in which the biometric data classifiers outputs are combined in order to improve the overall biometric system performance by decreasing the classification error rates. The paper shows also the biometric recognition task im...

Imagine that you get such certain awesome experience and knowledge by only reading a book. How can? It seems to be greater when a book can be the best thing to discover. Books now will appear in printed and soft file collection. One of them is this book advances in biometric person authentication international workshop on biometric recognition systems iwbrs 2005 beijing china october 22 23 2005...