A Novel Biological Recognition Method Based on Cranio-maxillo-facial Feature Information

Liwen Huang, Jing Yang, Xiaolong Wu, Xiaoqian Hu
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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.
基于颅颌面特征信息的生物识别新方法
近年来,多模型识别被认为是快速发展的生物识别技术的发展趋势。以人类颅颌面为目标,提出了一种新的人脸识别方法。从基于特征参数提取的数学模型出发,确定了特征参数的类型,并分析了不同参数的特征。同时完成了相关参数的计算方法。最后,提出了一种新的基于这些参数的识别算法,初步仿真结果表明该算法是有效的。
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