Title
A Novel Biological Recognition Method Based on Cranio-maxillo-facial Feature Information
Abstract
Recently 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.
Year
DOI
Venue
2009
10.1109/ITNG.2009.22
ITNG
Keywords
Field
DocType
cranio-maxillo-facial feature information,novel biological recognition method,mathematical model,computational method,characteristic parameter,different parameter,multi-model recognition,fast-developing biological recognition technology,development trend,humanity cranio-maxillo-facial,novel recognition method,new recognition algorithm,pattern recognition,cognition,data mining,iris,shape,fingerprint recognition,feature extraction,face recognition,pixel,biology
Facial recognition system,Distance measurement,Computer vision,Pattern recognition,Character recognition,Computer science,Fingerprint recognition,Feature extraction,Feature (machine learning),Artificial intelligence,Pixel,Recognition algorithm
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Liwen Huang100.34
Jing Yang200.34
Xiaolong Wu312818.86
Xiaoqian Hu401.01