| Issue |
E3S Web Conf.
Volume 351, 2022
10th International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES’2022)
|
|
|---|---|---|
| Article Number | 01073 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202235101073 | |
| Published online | 24 May 2022 | |
Writer identification using VLAD Encoding of the Histogram of Gradient Angle Distribution
1 Ibn Tofail University, Kenitra, Morocco
2 Faculty of Educational Sciences, Mohammed V University, Rabat, Morocco
* Corresponding author: semma_abdelillah@yahoo.fr
The use of computers and automatic systems has enabled scientific researchers to improve the classification rate in the field of writer identification. In our paper, we will propose an identification system based on the use of Histogram of Gradient Angle Distribution (HGAD) in square patches centered around Harris Keypoint locations. A global descriptor per image is calculated subsequently via the VLAD encoding of the local descriptors relating to the histograms of the square patches. The study carried out on two public datasets CVL and BFL made it possible to achieve very interesting identification rates with 99.4% in BFL and 99.7% in CVL.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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