chineseocrdeeplearning

We focus on the recognition of the following types of primary sources for studying Chinese history, including handwritten Tangut historical documents, stele ...

Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object Recognition, ...

CnOCR: Awesome Chinese/English OCR Python toolkits based on PyTorch. It comes with 20+ well-trained models for different application scenarios and can be ...

Deep learning based methods have been dominating the text recognition tasks in different and multilingual scenarios. 1. Paper

OCR by Deep Learning. •Challenges. •Methodologies. •Fundamental Sub-problems. •Datasets ... •Drawing and Recognizing Chinese Characters with Recurrent Neural ...

由 楊詔羽 著作 · 2018 — 應用深度學習於中文文字識別之研究. The Study of Chinese Optical Character Recognition by using Deep Learning Methods ... OCR system that is suitable for ...

由 CW Tseng 著作 — Optical Character Recognition (OCR) is the most common technique in pattern recognition ... In deep learning, a large amount of data is needed to ensure that ...

In order to solve this problem, this paper proposes a deep learning-aided OCR technique for improving recognition accuracy. First, we generate a database of ...

A deep learning-aided OCR technique for improving recognition accuracy in the recognition of the Chinese uppercase characters and develops a lightweight CNN ...

2021年5月7日 — Introduction. Baidu have developed PaddlePaddle2.0 enging for Optical Character Recognition(OCR), which can be used to detect text and ...