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