一种基于指纹和声纹决策级融合识别方法

doi:10.11959/j.issn.1000-0801.2018130

Abstract

Abstract:

Because of strong complementarity in the recognition environment and the low correlation characteristics of the two features,a fingerprint and voiceprint based decision level fusion recognition method was proposed.After extracting the features and recognition of corresponding fingerprint and voiceprint,the second comparison of choosing model (SCCM) was used to classify at the decision-making level and judge whether to enable voiceprint recognition according to the category,reduced the average data processing volume of the dual-mode fushion system by 32.8%.Experiments applied to FVC2002DB1 fingerprint library and self-collecting voiceprint library.The experimental results show that the multi-biometrics fusion effectively solves the single-modal recognition limitation and the recognition rate improves nearly 5.08% and 4.60% as well as get a more stable system.

Key words: multi-biometrics system, feature selection, second comparison of choosing model, decision-making level

CLC Number:

TP301

Jianwu ZHANG,Jiajia YANG,Zhendong WU. Method of fingerprint and voiceprint based decision level fusion recognition[J]. Telecommunications Science, 2018, 34(3): 32-40.

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指纹组号	识别率	指纹组号	识别率
1	100%	25	98.93%
2	99.64%	27	100%
3	99.29%	33	99.29%
4	100%	38	98.93%
5	99.64%	43	99.29%
6	98.57%	46	99.64%
7	98.57%	58	99.64%
9	98.21%	50	99.29%
11	98.93%	52	99.64%
12	99.29%	54	100%
13	98.93%	60	98.93%
…	…	61

类别	识别方法	识别率
单分类器的识别结果	指纹	94.16%
	声纹	94.64%
决策层融合的识别结果	SCCM算法	99.24%

Method of fingerprint and voiceprint based decision level fusion recognition

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