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DSP-based Fingerprint Image Recognition Method

Author: YuBo
Tutor: DuanYuBo
School: Northeast University of Petroleum
Course: Pattern Recognition and Intelligent Systems
Keywords: feature extraction characteristic value ratio of fingerprint recognition image preprocessing DSP
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 129
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Abstract


With the advent of the Internet age, the traditional identification methods like trading passwords, bank account number has been gradually unable to meet the needs of modern people to safety. Biometrics is the use of the body’s own process of growth that comes with physical characteristics for identification, you don’t have to remember anything in this way and it’s easily to work. What’s more, it has a long-term stable, compared with the traditional identification with the unparalleled advantage, is the future Identifying the direction of the mainstream of development.The development of fingerprint identification in human history, has a long history and important role, since 1960, it has been established for the fingerprint data in electronic files. Artificial fingerprint check work monotonous, boring, like always take a long time, and error-prone judgments. Therefore, people build a secondary analysis of artificial fingerprint identification computer system. Today, fingerprint identification has been completely inseparable from the computer, the best method to improve identification accuracy and speed as the key.This article is designed based on TMS320VC5501 DSP embedded fingerprint identification system that analyzes the characteristics of the fingerprint to establish the fingerprint of the mathematical model. The fingerprint image preprocessing, collected through the analysis of fingerprint images, fingerprint segmentation algorithm using the mode, mean, whichever is the object and other methods of getting to the real fingerprint. Low-pass filter using space on the fingerprint image smoothing. Original use of full snake model approach to achieve the fingerprint image feature extraction. Template matching method using the extracted features have been effectively match point. By CCS3.0 software, the success of the preprocessing algorithm and the fingerprint feature extraction and matching algorithms to TI’s TMS320VC5501 DSP processor speed to achieve the hardware matches the fingerprint identification system and achieve the desired good results.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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