This study investigates various feature selection techniques for face recognition. Biometric based authentication system protects access to resources and has gained importance, because of their reliable, invariant and discriminating features. An automated biometric system is based on physiological or behavioral human characteristics for protected access. Biometric trait such as palmprint, iris,...

Biometrics based personal identification is regarded as an effective method for automatically recognizing, with a high confidence a person’s identity. A multimodal biometric systems consolidate the evidence presented by multiple biometric sources and typically better recognition performance compare to system based on a single biometric modality. This paper proposes an authentication method for ...

Biometric systems are automatic process to identify a person through physical traits or to verify his/her identity. Various systems were implemented and used over years, and they include systems based on fingerprints, irises, facial images, hand geometry, and speaker recognition. For successful implementation of biometric systems,it is required to address many issues like accuracy, efficiency, ...

Many existing biometric systems collect ancillary information like gender, age, height, and eye color from the users during enrollment. However, only the primary biometric identifier (fingerprint, face, hand-geometry, etc.) is used for recognition and the ancillary information is rarely utilized. We propose the utilization of “soft” biometric traits like gender, height, weight, age, and ethnici...

The performance of biometric recognition systems can become limited in operating environments due to the presence of extraneous noise factors. Biometric fusion alleviates this problem by consolidating information from various biometric sources, thereby achieving a higher recognition rate. One challenge faced in fusion is how to optimally combine information originating from the different source...

The small sample issue is a common problem in face recognition system, and multi-modal model has strong generalization ability to solve the problem of small sample, which has already become the most important area of research in pattern recognition, however, the low accuracy and efficiency of the model has become a major challenge. Based on this, this paper proposes a efficient multimode biomet...

This paper discusses the methods of biometrics recognition technology and applications that used as personal identifying factors. Biometric recognition refers to an automatic recognition of individuals based on a feature vector(s) derived from their physiological and/or behavioral characteristic. Technologies are being developed to verify or identify individuals on the basis of measurement of f...

Biometrics introduce to the recognition of human by their characteristics. It is used to identify individuals in groups. Traditional methods of identification involving passwords and PIN numbers, this new technique of identification is preferred over them. Biometric systems are divided on the basis of medium used for authentication. Face Recognition, Iris Recognition, Palm Recognition; Voice Re...

In modern life, we see more techniques of biometric features recognition have been used to our surrounding life, especially the applications in telephones and laptops. These biometric recognition techniques contain face recognition, fingerprint recognition and iris recognition. Our work focuses on the face recognition problem and uses a deep learning method, convolutional neural network, to sol...