Executive Summary:

Biometrics based personal identification and verification systems are being increasingly installed in a number of applications worldwide, and their usage is expected to increase manifolds in near future.  However for mass induction of such systems, their reliability and timing efficiency has to be further enhanced and their costs should be further minimized.

This project proposes to work on the research and development of a scalable high-end solution for personal identification named Automatic Personal Identification Biometrics System (APIBS). For identification, APIBS will use two biometrics; fingerprints and human iris, which are selected because of their highly identifiable and unique patterns for every individual. The system will be highly reliable, efficient and will be designed specifically for practical large scale applications. The scope of work includes high performance algorithms development, code optimization, hardware development, integrated system design and implementation, database management and host application. 

The APIBS will be a software/hardware distributed modular and scalable design enabling the users to support a large and ever growing database. Part of the application software will run on a host processor and the computationally intensive modules will be implemented on a parallel array of FPGA based component matching systems and large throughput memories. 

The aim of this project is to evaluate independently all the recent algorithms for finger print and iris recognition on a large databases. The algorithms will be selected based on their robustness in practical, non-ideal conditions and their computational efficiency. Research will be done on the hardware optimization and optimized system design to fulfill high data throughput and fast search requirements of high-end systems with large data bases.

Key benefits of this project are given below:

• The project will contribute to the development of biometrics products for small scale, medium scale and large scale applications, providing high accuracy and timing efficiency using very large databases.

• The project will achieve self sufficiency in the development of biometrics systems and provide in-home solutions to different stakeholders in this field which will save a lot of financial resources for these organizations.

• Biometrics has potential application in future transaction system and required specific changes can be incorporated in the system for use in financial transaction applications of the banks.

• R&D Facilities in the form of biometric lab established during this project would help academia to conduct future research and development in biometric areas.