The thesis illustrates the development of DSP-based systems-¡§DSP Based Face Characteristic Extraction and Identity Recognition System¡¨.The principal system consists of three major subsystems and two kinds of structure of recognition algorithms.Three major subsystems are Image Acquisition System.Image
Preprocessing System,and face characteristic extraction individually.Two kinds of structure are Competitive Neural Network and Gaussian mixture model respectively In actual proving,we adopt colored half-length face image alone only face image,and simulate on PC.In order to acquire the characteristic parameter with the different parts to the people faces , and then achieve the purpose that the identity discerns.Finally implant it to DSP .Shown by the experimental result,this system can really reach the
anticipative goal,and gain good recognition and efficiency.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0727104-142951 |
| Date | 27 July 2004 |
| Creators | Lin, Yi-Chin |
| Contributors | Chin-Ching Huang, Tzuen-Lih Chern, I-Chih Kao, Zai-Jun Tu, Yung-Chun Wu |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727104-142951 |
| Rights | campus_withheld, Copyright information available at source archive |
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