In this work we seek to provide insight on the general topic of soft biometrics. We firstly
present a new refined definition of soft biometrics, emphasizing on the aspect of human …

The computational workload is one of the key challenges in biometric identification systems.
The naïve retrieval method based on an exhaustive search becomes impractical with the …

A Watershed transform based Iris REcognition system (WIRE) for noisy images acquired in
visible wavelength is presented. Key points of the system are: the color/illumination …

This paper proposes an efficient indexing scheme for searching large iris biometric
database that achieves invariance to similarity transformations, illumination and occlusion …

Biometric features are extracted from a complex pattern and stored as high dimensional
data. These data do not follow traditional sorting order like numerical and alphabetical data …

In spite of high efficiency of the iris recognition systems, the accuracy of the system degrades
with the increase in the size of database, hence there is need for indexing. One of the …

This paper proposes a hierarchical approach to retrieve an iris image efficiently from for a
large iris database. This approach is a combination of both iris color and texture. Iris color is …

This paper presents an efficient scheme to index the database of facial images. It has made
use of the modified geometric hashing technique. It uses minimum amount of search space …

Deployment of biometrics for personal recognition in various real time applications lead to
large scale databases. Identification of an individual on such large biometric databases …

Iris recognition systems using iris images captured in visible light have several advantages
compared to using near infrared (NIR) images, and draw attention from biometrics …