DocumentCode :
1995431
Title :
A Novel Biological Recognition Method Based on Cranio-maxillo-facial Feature Information
Author :
Huang, Liwen ; Yang, Jing ; Wu, Xiaolong ; Hu, Xiaoqian
Author_Institution :
Dept. of Electr. Inf. Eng., Chongqing Inst. of Technol., Chongqing
fYear :
2009
fDate :
27-29 April 2009
Firstpage :
28
Lastpage :
32
Abstract :
The multi-model recognition has been considered the development trend for the fast-developing biological recognition technology. Taking humanity cranio-maxillo-facial as the target, a novel recognition method is proposed in this paper. Starting from the mathematical model based on extracting characteristic parameters, the types of characteristic parameters is determined, and the features of different parameters are analyzed. Meanwhile the computational method of related parameters has been completed. Finally, a new recognition algorithm based on these parameters is proposed and our preliminary simulation results indicate that this algorithm is effective.
Keywords :
face recognition; feature extraction; medical image processing; biological recognition; characteristic parameter extraction; cranio-maxillo-facial feature information; humanity cranio-maxillo-facial; mathematical model; multimodel recognition; Area measurement; Biology computing; Character recognition; Cognition; Data mining; Fingerprint recognition; Humans; Iris; Pattern recognition; Shape; Pattern recognition; characteristic parameter; cranio-maxillo-facial; multi-model recognition; recognition algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations, 2009. ITNG '09. Sixth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-3770-2
Electronic_ISBN :
978-0-7695-3596-8
Type :
conf
DOI :
10.1109/ITNG.2009.22
Filename :
5070587
Link To Document :
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