Arlazarov Vladimir Viktorovich

Publications in Math-Net.Ru

1. BARdger: AI-boosted configurable barcode scanning system
   
   Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2025, no. 4,  3–16
2. The impact of dataset size on the reliability of model testing and ranking
   
   Vestnik YuUrGU. Ser. Mat. Model. Progr., 18:2 (2025),  102–111
3. Towards monitored tomographic reconstruction: algorithm-dependence and convergence
   
   Computer Optics, 47:4 (2023),  658–667
4. Vulnerability analysis of neural networks in computer vision
   
   Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2023, no. 4,  49–58
5. Method for detecting false responses of localization and identification algorithms using global features
   
   Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2023, no. 4,  28–36
6. Document image analysis and recognition: a survey
   
   Computer Optics, 46:4 (2022),  567–589
7. Towards a unified framework for identity documents analysis and recognition
   
   Computer Optics, 46:3 (2022),  436–454
8. MIDV-2020: a comprehensive benchmark dataset for identity document analysis
   
   Computer Optics, 46:2 (2022),  252–270
9. Methods for combining multiple text recognition results
   
   Artificial Intelligence and Decision Making, 2022, no. 3,  106–116
10. A model for assessing the reliability of document text field recognition
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2022, no. 4,  3–12
11. Analysis of the usage of problem-oriented datasets in scientific research
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2022, no. 3,  10–23
12. A method for machine-readable zones location based on a combination of the Hough transform and the search for feature points
    
    Vestnik YuUrGU. Ser. Mat. Model. Progr., 15:2 (2022),  100–110
13. X-ray tomography: the way from layer-by-layer radiography to computed tomography
    
    Computer Optics, 45:6 (2021),  897–906
14. Advanced Hough-based method for on-device document localization
    
    Computer Optics, 45:5 (2021),  702–712
15. Weighted combination of per-frame recognition results for text recognition in a video stream
    
    Computer Optics, 45:1 (2021),  77–89
16. Evolution of the Viola–Jones object detection method: a survey
    
    Vestnik YuUrGU. Ser. Mat. Model. Progr., 14:4 (2021),  5–23
17. Object recognition and image processing in the development of oil and gas wells
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2020, no. 1,  12–24
18. Training Viola–Jones detectors for 3D objects based on fully synthetic data for use in rescue missions with UAV
    
    Vestnik YuUrGU. Ser. Mat. Model. Progr., 13:4 (2020),  94–106
19. MIDV-500: a dataset for identity document analysis and recognition on mobile devices in video stream
    
    Computer Optics, 43:5 (2019),  818–824
20. Achieving statistical dependence of the CNN response on the input data distortion for OCR problem
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2019, no. 4,  94–101
21. Document recognition method based on convolutional neural network invariant to 180 degree rotation angle
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2019, no. 4,  87–93
22. Modelling the flow of character recognition results in video stream
    
    Vestnik YuUrGU. Ser. Mat. Model. Progr., 11:2 (2018),  14–28
23. Image quality assessment for video stream recognition systems
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2017, no. 4,  71–82
24. Usage of the intersection graph for camera-based document capture
    
    Artificial Intelligence and Decision Making, 2016, no. 2,  60–69
25. Analysis of features of the use of fixed and mobile small-sized digital video camera for OCR
    
    Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2014, no. 3,  71–81


26. Vladimir L'vovich Arlazarov (on 80th birthday)
    
    Vestnik YuUrGU. Ser. Mat. Model. Progr., 13:1 (2020),  150–153