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Massively Parallel Fingerprint Recognition System Architecture for Performing Multi Million Matches per Second
 
Principal Investigator:
Center for Advanced Studies in Engineering, Islamabad
www.case.edu.pk
Project Directors:
Dr. Shoab Ahmed Khan shoab@case.edu.pk
Sheikh Muhammad Farhan smfarhan@carepvtltd.com
Project Details:
Start Date: July, 2008 Duration: 19 months
Project Cost: PKR 14.94 million Project Funding: PKR 14.94 million
Project Status: In progress.
Detailed proposal is available here.


Executive Summary

Accurate automatic personal identification is critical in a variety of applications in an electronically interconnected society. The need and interest in personal identification systems has increased manifolds due to security concerns at national and international level.

Among all the biometric techniques, fingerprint-based identification systems have received the most attention because of the long history of fingerprints and their extensive use in forensics. An automatic recognition of people based on fingerprints requires that the input fingerprint be matched with a large number of fingerprints in a database and high speed recognition is required.

This project will develop a high speed FPGA-based scalable Fingerprint Recognition System Architecture. The architecture will be scalable for higher throughput applications. The project aims to develop algorithms, which can be efficiently mapped in Hardware for subsequent mapping on FPGA-based system. The project proposes to develop this massively parallel fingerprint recognition system architecture for performing multimillion matches per second for high-density applications.

The key benefits of this project are:

  • The developed project will have an international market. Some of the important organizations facilitated by this project will be national registration agencies, security agencies, banks, and immigration authorities, etc..
  • The project will develop exceptional human resource to take on other projects of comparable complexities and scale in the future.  
  • The project will develop an infrastructure that can create a knowledge community which can subsequently generate various financially rewarding activities.

 

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