Funded Projects

Automatic Personal Identification Biometrics System (APIBS) for Large Scale Applications.

Principal Investigator’s Organization (PIO):
Muhammad Ali Jinnah University, Islamabad
Principal Investigator (PI):
Dr. Imtiaz Ahmed Taj, Ms. Ayesha Khalid
Project Details:
Start Date 01-Dec-2008
Duration 24 months+4 months extension
Budget PKR 14.70 million
Status Project Successfully Completed
Progress Report View Progress Report
Publications N/A
Thematic Area Security
Project Website
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 worked on the research and development of a scalable high-end solution for personal identification named Automatic Personal Identification Biometrics System (APIBS). For identification, APIBS used two biometrics; fingerprints and human iris, which are selected because of their highly identifiable and unique patterns for every individual. The system is reliable, efficient 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 is a software/hardware distributed modular and scalable design enabling the users to support a large and ever growing database. Part of the application software is run on a host processor and the computationally intensive modules are implemented on a parallel array of FPGA based component matching systems and large throughput memories. The aim of this project was to evaluate independently all the recent algorithms for finger print and iris recognition on a large databases. Research is 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 contributed 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. • 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.