An Arabic font here refers to a form of writing that uses Arabic letters regardless of the language it’s been written in. The task is to classify images of text written using Arabic letters into two classes of Arabic fonts: Ruqaa and Nastaliq (Farsi). This project aims to tackle a simplified version of the font recognition problem. It can be used by font creators to detect and find copyright infringements. also introduced a tool called WhatTheFont as an on-the-fly font recognition tool. For example, DeepFont was developed as part of Adobe Photoshop to detect and suggest similar fonts from images.

Companies like Google, Snapchat, and Adobe have been interested in this technology in order to increase the productivity of their products’ users. It can be used as a complementary part of a product. Identifying the used font in a document then using an OCR model specialized to work with that particular font will improve the accuracy and time complexity of the system, rather than using one model to deal with all the different fonts. Improving other tasks, such as optical character recognition (OCR). Style/similarity-based font search, to power font engines such as Google Fonts.

In addition to standalone usage of VFR systems to simply identify fonts, they can be utilized as subsystems within other more complex ones, for example: Since manual font identification can be tedious and requires expertise, especially when working with fonts of foreign languages, automatically identifing these fonts can be of a great benefit to designers and creative workers. The task of font classification/recognition/visual font recognition (VFR), is to automatically identify the font family of an image of text.

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