基于群智能的图书馆人脸识别系统关键技术

doi:10.13229/j.cnki.jdxbgxb20210416

Abstract

Abstract:

In order to facilitate the transformation of libraries to new forms of smart libraries， face recognition plays a very important role in it. Image segmentation， on the other hand， is one of the most fundamental studies in face recognition. In this study， we first propose a hybrid successive ant colony optimization algorithm （BACO）， and further propose a BACO-based multi-threshold image segmentation model for facial image segmentation. In order to verify the performance of the BACO-based multi-threshold image segmentation model， it is compared with nine other similar methods for experiments. For the obtained experimental results， the segmentation results were first evaluated using PSNR and FSIM， and the evaluation was further analyzed using Wilcoxon signed-rank test. The obtained results clearly confirm that the BACO-based multi-threshold image segmentation model obtains the optimal performance. Thus， the proposed multi-threshold image segmentation model lays a solid foundation for the next step of facial recognition and even smart library construction.

Key words: smart library, image segmentation, swarm intelligence optimization, face recognition

CLC Number:

TP391

Song-mei TANG. Key technology of face recognition system based on swarm intelligence in library[J].Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 2216-2224.

Figures/Tables 7

Fig.1

Fig.2

Fig.3

Table 1

Definition and description of two evaluation indicators"

名称	峰值信噪比（PSNR）	特征相似度指数（FSIM）
公式	$P S N R = 20 ? l o g 10 ? 255 R M S E$	$F S I M = ∑ I ∈ Ω S L X P C m X ∑ I ∈ Ω P C m X$
描述	评估分割后的图像与原始图像之间的差异。	定义质量分数，它反映了一个地方结构的重要性。

Table 1

Table 2

Table 3

Fig.4

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阈值水平	~	BACO	SMA	ACOR	WOA	CS	ABC	SCA	MVO	HHO
	+/-/=	~	1/1/2	0/0/4	1/0/3	3/0/1	3/0/1	2/0/2	1/0/3	2/1/1
3	排序均值	2	3.75	3	6.5	7.25	6.25	7	3	6.25
	排名	1	4	2	7	9	5	8	2	5
	+/-/=	~	1/0/3	0/0/4	3/0/1	2/0/2	2/0/2	4/0/0	1/0/3	2/0/2
4	排序均值	2	5	3.25	6	5.5	4	8.5	3	7.75
	排名	1	5	3	7	6	4	9	2	8
	+/-/=	~	1/0/3	0/0/4	2/0/2	2/0/2	3/0/1	4/0/0	1/0/3	3/0/1
5	排序均值	2.25	4.5	3	7	4.75	3.75	8.75	3	8
	排名	1	5	2	7	6	4	9	2	8
	+/-/=	~	2/0/2	0/0/4	1/0/3	3/0/1	0/0/4	4/0/0	3/0/1	4/0/0
13	排序均值	2	4	2.25	5.25	5.25	2.75	9	6.5	8
	排名	1	4	2	5	5	3	9	7	8
	+/-/=	~	3/0/1	0/0/4	3/0/1	3/0/1	2/0/2	4/0/0	4/0/0	4/0/0
14	排序均值	1.25	4.25	2.5	5	4.75	3.5	9	7	7.75
	排名	1	4	2	6	5	3	9	7	8
	+/-/=	~	1/0/3	0/0/4	2/0/2	2/0/2	0/0/4	4/0/0	2/0/2	4/0/0
15	排序均值	1.75	3.25	3.25	4.5	5.5	3.25	9	6.5	8
	排名	1	2	2	5	6	2	9	7	8

阈值水平	~	BACO	SMA	ACOR	WOA	CS	ABC	SCA	MVO	HHO
	+/-/=	~	1/0/3	0/0/4	2/0/2	2/0/2	2/0/2	4/0/0	1/0/3	2/0/2
3	排序均值	1.75	3	3	6	7	5.25	9	3.25	6.75
	排名	1	2	2	6	8	5	9	4	7
	+/-/=	~	1/0/3	0/0/4	3/0/1	3/0/1	2/0/2	4/0/0	2/0/2	2/0/2
4	排序均值	1	5.25	2.5	7.5	5.75	4.75	9	3.5	5.75
	排名	1	5	2	8	6	4	9	3	6
	+/-/=	~	1/1/2	0/0/4	3/0/1	3/0/1	2/0/2	4/0/0	1/0/3	2/0/2
5	排序均值	2.5	3	2.75	6.5	7	4.75	9	3.25	6.25
	排名	1	3	2	7	8	5	9	4	6
	+/-/=	~	1/0/3	1/0/3	2/0/2	2/0/2	1/0/3	4/0/0	4/0/0	4/0/0
13	排序均值	1.25	4.25	2.5	5.25	5.75	2.75	9	6.5	7.75
	排名	1	4	2	5	6	3	9	7	8
	+/-/=	~	3/0/1	0/0/4	2/0/2	3/0/1	2/0/2	4/0/0	4/0/0	4/0/0
14	排序均值	1.5	4.25	2.25	5	5	3.25	9	7	7.75
	排名	1	4	2	5	5	3	9	7	8
	+/-/=	~	2/0/2	0/0/4	3/0/1	4/0/0	1/0/3	4/0/0	4/0/0	4/0/0
15	排序均值	1.75	3.25	3.25	4.5	5.5	3.25	9	6.5	8
	排名	1	2	2	5	6	2	9	7	8

Key technology of face recognition system based on swarm intelligence in library

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