Degradation in data quality is still a main source of errors in themodern biometric recognition systems. However, the data quality can be embedded in the recognition methods at global and local levels to build more accurate biometric systems. Local quality measures represent the quality of local parts within a biometric sample. They are either combined into a global quality measure or directly ...

In biometrics, Fingerprint is widely used in identification of individual’s identity. Biometric recognition is leading technology for identification and security systems. Fingerprint has unique identification among all other biometric modalities. Use of the fingerprints as biometric characteristics is extensively used and developed for fingerprint recognition in forensic, civilian and commercia...

Recognition of newborn after birth is a critical issue for hospitals, maternity word and other places where multiple birthstake place. Switching and abduction of newborn is a global challenge and research done to meet this challenge is minimal. Most of the biometric systems developed are for adults and very few of them address the issue of newborn identification.The ear of newborn is a perfect ...

This paper addresses an issue concerning the current classification of biometrics into either physiological or behavioural. We offer clarification on this issue and propose additional qualifications for a biometric to be classed as behavioural. It is observed that dynamics play a key role in the qualification of these terminologies. These are illustrated by practical experiments based around vi...

A biometric system is essentially a pattern recognition system that operates by acquiring biometric data from an individual, extracting a feature set from the acquired data, and comparing this feature set against the template set in the database. Multimodal biometric systems are becoming more and more popular, they have more accuracy as compared to unimodal biometric systems. On the other hand ...

Biometric performance improvement is a challenging task. In this paper, a hierarchical strategy fusion based on multimodal biometric identification systems is presented. This strategy relies on a combination of several biometric traits using a multi-level biometric fusion hierarchy. The multi-level biometric fusion includes a pre-classification fusion with optimal feature selection and a post-c...

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...