Research on Text Location and Recognition in Natural Images with Deep Learning
Ping Zhang, Ziyu Shi, Haichang Gao · 2018
The location and recognition of scene text has been a difficult topic in many computer vision applications. In scene text location, which differ from the general objects detection and location task, scene text always suffers from large variances of the aspect ratio, scale, and orientation. As for scene text recognition, the changing character types, sharpness, sizes, and font families make it difficult to accurately recognize the text. In this paper, we have carried out work on both scene text location and recognition. We apply the general objects location methods to the scene text location task. We use two methods, one based on Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and Connectionist Temporal Classifier (CTC), the other based on CNN, RNN and the Attention mechanism. They perform well both in recognition speed and accuracy rate compared with previous methods.