About Viola-Jones image classifier structure in the problem of stamp detection in document images

Daniil P. Matalov; Sergey A. Usilin; Vladimir V. Arlazarov

doi:10.1117/12.2586842

4 January 2021 About Viola-Jones image classifier structure in the problem of stamp detection in document images

Daniil P. Matalov, Sergey A. Usilin, Vladimir V. Arlazarov

Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 116050V (2021) https://doi.org/10.1117/12.2586842
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy

Abstract

In this paper we explore a set of modifications of the cascade structure of the Viola-Jones detector on the example of solving stamp detection problem. The experiments on the public “SPODS” dataset for various document attributes extraction problems with extremely limited training set are presented. The positive training set is augmented by applying various image processing algorithms relevant to the stamp model to an available in a single instance image for each stamp type. We describe and analyze such structures of the Viola and Jones classifiers as the original cascade structure, tree, soft cascade, and perform the training experiments. Experimental results show that each modification of the cascade structure of the classifier has its own advantages and disadvantages, and the choice of the Viola-Jones classifier design significantly affects the quality of solving object detection problem.

Citation Download Citation

Daniil P. Matalov, Sergey A. Usilin, and Vladimir V. Arlazarov "About Viola-Jones image classifier structure in the problem of stamp detection in document images", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 116050V (4 January 2021); https://doi.org/10.1117/12.2586842

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