A novel text structure feature extractor for Chinese scene text detection and recognition

Xiaohang Ren, Kai Chen, Xiaokang Yang, Yi Zhou, Jianhua He, Jun Sun

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Scene text information extraction plays an important role in many computer vision applications. Unlike most existing text extraction algorithms for English texts, in this paper, we focus on Chinese texts, which are more complex in stroke and structure. To tackle this challenging problem, we propose a novel convolutional neural network (CNN) based text structure feature extractor for Chinese texts. Each Chinese character contains its specific types and combination of text structure components, which is rarely seen in backgrounds. Thus, different from the features only applicable to one text extraction stage (text detection or text recognition), the text structure component feature is suitable for both Chinese text detection and recognition. A text structure component detector (TSCD) layer is designed to detect the large amount of component types, which is the most challenging part of extracting text structure component features. Through statistical classification various types of text structure component are detected by their specially designed convolutional units in the TSCD layer. With the TSCD layer, the CNN has improvements in the accuracy and uniqueness of text feature description. In the evaluation, both text detection and recognition algorithms based on the proposed text structure feature extractor achieve state-of-the-art results in two datasets.

    Original languageEnglish
    Title of host publication2016 23rd International Conference on Pattern Recognition, ICPR 2016
    PublisherIEEE
    Pages3380-3385
    Number of pages6
    ISBN (Electronic)9781509048472
    ISBN (Print)9781509048489
    DOIs
    Publication statusPublished - 2016
    Event23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, Mexico
    Duration: 4 Dec 20168 Dec 2016

    Publication series

    NameProceedings - International Conference on Pattern Recognition
    Volume0
    ISSN (Print)1051-4651

    Conference

    Conference23rd International Conference on Pattern Recognition, ICPR 2016
    CountryMexico
    CityCancun
    Period4/12/168/12/16

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