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Deep Arabic Font Family and Font Size Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 4 |
| Year of Publication: 2017 |
| Authors: Ibrahim M. Amer, Salma Hamdy, Mostafa G. M. Mostafa |
10.5120/ijca2017915589
|
Ibrahim M. Amer, Salma Hamdy, Mostafa G. M. Mostafa . Deep Arabic Font Family and Font Size Recognition. International Journal of Computer Applications. 176, 4 ( Oct 2017), 1-6. DOI=10.5120/ijca2017915589
Abstract
Font family and font size recognition became an essential step for document analysis. Font recognition helps to identify the proper segmentation method to be used before feeding the document to the Optical Character Recognition (OCR). In this paper, some of the previous techniques used for font family and font size recognition will be discussed then we will discuss the proposed method that is based on deep learning. Two methods have been presented in this paper 1) a method for font family recognition (font size invariant) and 2) a method for font size recognition. Both methods use Deep Convolutional Neural Networks (D-CNN). We evaluated the proposed method on Arabic Printed Text Image Database (APTI) [7] and on a document generated using APTI database word images and scanned with the scanner.
References
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