关键词: 文本线, 局部极值, 两阶段, 场景文本, 序列识别

Abstract: In order to improve the computational efficiency and accuracy of scene text recognition algorithm, this paper proposes a two-stage scene text sequence recognition method based on text line local extremum region. Firstly, the characters of each extreme value region are calculated by using the feature computation, and the feature with the local maximum probability is selected as the output of the first stage and the input of the second stage. Secondly, the efficient clustering algorithm is used to deal with the characters in the extremum region, and then the font synthesis is done by using the label of the character region and the OCR classifier. The fast selection of the most probable character sequences can be achieved in the case that the text lines of each character in the context are known. Finally, through the simulation test on USTB-SV1K database and multi-direction text and horizontal text, this paper verifies the advantages of algorithm in computational efficiency and computational accuracy.

Key words: text line, local extremum, two-stage, scene text, sequence recognition