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Hardware Platform Design Of A Fingerprint Recognition System Based On DSP

Posted on:2008-09-20Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q NiuFull Text:PDF
GTID:2178360242474741Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
Fingerprint identification as one of biology character identifications, because of the stability and security, has been widely applied to finance and electron business; it is a hotspot of the present study and application. With the appearance of fingerprint sensor chip and the DSP wide applications to image processing, the fingerprint identification system structure that uses fingerprint sensor and DSP as the core will become popular in future.In this paper, basing on the in-depth research and sound investigation, a convenient, fast and inexpensive hardware development platform of fingerprint identification system has been successfully designed. This paper is made up of the following parts:The basic principle, system structure, estimation criterion of the fingerprint identification system have been realized and the elements of the system have been chosen by analyzing the present development status of fingerprint identification art.By using digital signal processing TMS320C5416 and fingerprint sensor MBF200 as its main chips, with the cooperation of SRAM memory, FLASH memory, LCD and so on, this platform has archived the objective of high performance and integration, low cost and consumption, small size.Debug and validation have been made to make sure that the platform is in order. Following this, system initialization and fingerprint image capture program have been successfully transplanted to the hardware platform. At last, fingerprint images have been exactly captured.Experimentation has proved that hardware platform design presented by this paper is practicable. Fingerprint identification system based on DSP has particular advantages of speed, power, area and expansibility and has wide development space.
Keywords/Search Tags:Fingerprint identification, Hardware platform, Sensor, DSP
PDF Full Text Request
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