Soft biometric traits like gender, age, height, weight, ethnicity, and eye color cannot provide reliable user recognition because they are not distinctive and permanent. However, such ancillary information can complement the identity information provided by the primary biometric traits (face, fingerprint, hand-geometry, iris, etc.). This paper describes a hybrid biometric system that uses face ...

Unimodal biometric system uses only single trait of biometric for recognition and do not provide secured application. Multimodal biometric combines different physical and behavioral traits such as face and finger other traits such as skin color, age, height, hair color, eye color, provide reliable authentication because the nature of these t property in soft biometrics, it can be used with othe...

The present study investigated basic statistics for biometric traits as well as non-genetic factors that may affect these traits in the Moghani breed of sheep. The data-set was computed by using biometric records of the Moghani sheep breeding and raising station over a period of 15 years (1996 to 2012). Year of birth, month of birth, birth type and lamb's sex and dam permanent environment were ...

Biometric Authentication systems adopt a suitable image processing technique to manipulate the biometric images. It refers to verifying a person using their biometric traits that includes physiological, biological and/or behavioral traits like iris, face, fingerprint, voice, hand writing etc. , A biometric characteristic should be unique, universal, permanent and acceptable. In this work, the t...

Biometric features are increasingly used for authentication and identification purposes in a broad variety of institutional and commercial systems, such as e-government, e-banking and e-commerce applications. On the other side, the adoption of biometric techniques is restrained by a rising concern regarding the protection of the biometrics templates. In fact, people are not generally keen to gi...

In line with attempts to find superior performance using multimodal biometric systems, different methods of fusing individual biometric data have been attempted. As noted from previous chapters, the performance of individual biometric systems has been improved by refinements in feature extraction methods. In order to achieve the maximum possible accuracy out of authentication process, scores fr...

Biometric systems play an important role in authenticating the identity of an individual. Such authenticated systems are still prone to attacks and securing them is an important issue. To overcome this, biometric based authentication is blended with cryptography resulting in a framework called fuzzy vault which provides a high level of security. Fuzzy vault is a biometric cryptosystem used for ...

Biometric systems based on uni-modal traits are characterized by noisy sensor data, restricted degrees of freedom, non-universality and are susceptible to spoof attacks. Multi-modal biometric systems seek to alleviate some of these drawbacks by providing multiple evidences of the same identity. In this paper, a user-score-based weighting technique for integrating the iris and signature traits i...

A biometric system is essentially a pattern recognition system being used in adversarial environment. Since, biometric system like any conventional security system is exposed to malicious adversaries, who can manipulate data to make the system ineffective by compromising its integrity. Current theory and design methods of biometric systems do not take into account the vulnerability to such adve...