2020

PP-OCR: A Practical Ultra Lightweight OCR System

Du, Yuning, Li, Chenxia, Guo, Ruoyu et al.

Understand

The Optical Character Recognition (OCR) systems have been widely used in various of application scenarios, such as office automation (OA) systems, factory automations, online educations, map productions etc.

However, OCR is still a challenging task due to the various of text appearances and the demand of computational efficiency.
In this paper, we propose a practical ultra lightweight OCR system, i.e., PP-OCR.
The overall model size of the PP-OCR is only 3.5M for recognizing 6622 Chinese characters and 2.8M for recognizing 63 alphanumeric symbols, respectively.

Built on

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