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AI-Enhanced Systems and Innovative Methods for the Exhaustive Collection of Passport Data through intelligent Device

Wen Zhao

Wen Zhao

Center of International Cooperation Service, Ministry of Agriculture and Rural AffairsBeijing, China
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Zhao, Wen
, 
Junteng Zhang

Junteng Zhang

Center of International Cooperation Service, Ministry of Agriculture and Rural AffairsBeijing, China
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Zhang, Junteng
, 
Bin Yang

Bin Yang

Center of International Cooperation Service, Ministry of Agriculture and Rural AffairsBeijing, China
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Yang, Bin
, 
Rui Zhang

Rui Zhang

Center of International Cooperation Service, Ministry of Agriculture and Rural AffairsBeijing, China
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Zhang, Rui
 and 
Yingying Wang

Yingying Wang

Center of International Cooperation Service, Ministry of Agriculture and Rural AffairsBeijing, China
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Wang, Yingying
  
Sep 24, 2025
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Published Online: Sep 24, 2025
Received: Jan 17, 2025
Accepted: May 07, 2025
DOI: https://doi.org/10.2478/amns-2025-0974
Keywords
© 2025 Wen Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Comparison of foreground image enhancement effect
Comparison of foreground image enhancement effect

Figure 2.

Comparison of background image enhancement effect
Comparison of background image enhancement effect

Figure 3.

Comparison results of different algorithms
Comparison results of different algorithms

Figure 4.

Hierarchical structure of upper machine software
Hierarchical structure of upper machine software

Comparison results of matching recognition of different algorithms

Algorithms Training sample size MDR UDR
SIFT - 0.262 0.358
ORB - 0.196 0.376
HOG - 0.171 0.347
CFOG - 0.163 0.328
SiameseNet N=10 0.162 0.229
N=20 0.092 0.221
N=30 0.084 0.184
N=40 0.075 0.139
N=50 0.061 0.092
Our method - 0.055 0.069
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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