Title | ||
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A Novel Biological Recognition Method Based on Cranio-maxillo-facial Feature Information |
Abstract | ||
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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 Huang | 1 | 0 | 0.34 |
Jing Yang | 2 | 0 | 0.34 |
Xiaolong Wu | 3 | 128 | 18.86 |
Xiaoqian Hu | 4 | 0 | 1.01 |