Face recognition is still a very demanding area of research. This problem becomes more challenging in unconstrained environment and in the presence of several variations like pose, illumination, expression, etc. Local descriptors are widely used for this task. The existing local descriptors are not able to utilize the wider local information to make the descriptor more discriminative. The wider...

This paper introduces a system in which the face recognition is carried out with the help of the local feature descriptors. As today face recognition is a very active area of research, a system which carries out the robust face recognition is needed to be developed. Face recognition is used in various fields of security and access control, surveillance military etc. here the system is developed...

This paper presents an account of the use of syllable structure as the basis for a novel approach to speech recognition. This contrasts with the serial organization of more conventional phonetic segments, and their use in speech recognition systems. It is demonstrated that working with syllables provides the basis for linguistically motivated speech recognition using the previously reported not...

Face recognition is one of the most active research areas in pattern recognition for the last decades because of its potential applications as well as scienti c challenges. Although numerous methods for face recognition have been developed, recognition accuracy and speed still remain a problem. In this paper, we propose a novel method for fast and accurate face recognition. The contribution of ...

Extending recognition to uncontrolled situations is a key challenge for practical face recognition systems. Finding efficient and discriminative facial appearance descriptors is crucial for this. Most existing approaches use features of just one type. Here we argue that robust recognition requires several different kinds of appearance information to be taken into account, suggesting the use of ...

This work develops a novel face-based matcher composed of a multi-resolution hierarchy of patch-based feature descriptors for periocular recognition recognition based on the soft tissue surrounding the eye orbit. The novel patch-based framework for periocular recognition is compared against other feature descriptors and a commercial full-face recognition system against a set of four uniquely ch...

High-dimensional local binary patterns [5] have been proved to be a useful feature for face recognition, which provides near-human performance in a widely used face verification benchmark. In this report, we first review the technical aspect of this promising feature, and then we provide our implementation details of the feature. Finally, we show some experimental results using this feature on ...

A number of global and local methods are available for the representation of face images, still no single approach is found to be suitable in most of the situations. As the information conveyed by these two feature sets, is different hence the techniques that combine the global and local features together are necessary to obtain the optimal results. In this paper, we have developed an approach ...

As in today’s life security is main concern. So, a lot of researches are going in the field of security like password, security question, pattern matching and a very important approach is biometric security. So my work is to study about the palm print recognition to identify human. Palm print recognition system has proved its efficiency with many machine learning techniques like LBP, Repeated l...

In this paper, we construct heterogeneous sensor networks (HSN) for face recognition and propose a novel approach named coupled principal component analysis (CPCA) that uses a feature-based representation for heterogeneous face images. We first employ local binary patterns (LBP) to capture the local structure of face images, and then propose CPCA to obtain the global face information. The propo...