Authors: Xu-Cheng Yin, Chun Yang, Jie-Bo Hou, Wei-Yi Pei, Zong-Heng Xing

Description: Text is first detected with USTB_TexStar+ (USTB_TexStar [1] with multiple channels). Then a hybrid word recogniton system (a CNN recognizer [2] and an OCR engine) is performed. Finally, the levenshtein distance is used to find the nearest word in the given vocabulary in order to rectify some false recognition results.

[1] Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang, and Hong-Wei Hao, “Robust text detection in natural scene images”, IEEE Trans. Pattern Analysis and Machine Intelligence, 36(5): 970-983, 2014.
[2] M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman, "Reading Text in the Wild with Convolutional Neural Networks", arXiv preprint arXiv:1412.1842, 2014.