Daniil P. Matalov,1,2 Sergey A. Usilin,1,3 Vladimir V. Arlazarov3,4,5
1Federal Research Ctr. "Computer Science and Control" of RAS (Russian Federation) 2Smart Engine Service LLC (Russian Federation) 3Smart Engines Service LLC (Russian Federation) 4Institute for Information Transmission Problems of the RAS (Russian Federation) 5National Research Univ. MIPT (Russian Federation)
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
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.
Daniil P. Matalov,Sergey A. Usilin, andVladimir 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
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Daniil P. Matalov, Sergey A. Usilin, 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