Research on Cogent Automatic Fingerprint Identification System

Rui Zhang; Feng Wang

doi:10.4028/www.scientific.net/AMR.605-607.1741

Paper Titles

Design and Implementation of Remote Monitoring System for UPS in Unattended Observation Station
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Quantum Artificial Bee Colony Algorithm for Knapsack Problem
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Research on Control Technology of Hydro-Viscous Winch
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A Chaotic Cellular Neural Network System Research and Implementation Based on FPGA
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Research on Cogent Automatic Fingerprint Identification System
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An Improved Fast Intelligent Tracking Algorithm with the Gain Adjustable
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The Research and Design of Smart Home Based on Virtual Reality Technology
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Development of Full-Automatic Flap Disc Production Machine Based on PLC Control System
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Research on Influencing Spreading Model of Road Congestion Based on Traffic Flow and Cellular Automata Approaches
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Research on Cogent Automatic Fingerprint Identification System

Abstract:

Cogent Automatic Fingerprint Identification System (CAFIS) was researched by Cogent Co. Ltd. This system filtrated and matched fingerprints feathers automatically by computer to search for similar fingerprints, which are identified by specialists finally. It can provide help for criminal cases. About CAFIS, this paper introduces the principle, fingerprint identification process and the system workflow. Then, it researches five functions modules; they are image acquisition, screening, feathers matching, scoring and sorting; and introduce the algorithm of feather matching briefly. Experimental results show that it has many advantages, such as the big capacity of database, quick matching speed, high accuracy, etc.