A novel scene text detection algorithm based on convolutional neural network

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

    Candidate text region extraction plays a critical role in convolutional neural network (CNN) based text detection from natural images. In this paper, we propose a CNN based scene text detection algorithm with a new text region extractor. The so called candidate text region extractor I-MSER is based on Maximally Stable Extremal Region (MSER), which can improve the independency and completeness of the extracted candidate text regions. Design of I-MSER is motivated by the observation that text MSERs have high similarity and are close to each other. The independency of candidate text regions obtained by I-MSER is guaranteed by selecting the most representative regions from a MSER tree which is generated according to the spatial overlapping relationship among the MSERs. A multi-layer CNN model is trained to score the confidence value of the extracted regions extracted by the I-MSER for text detection. The new text detection algorithm based on I-MSER is evaluated with wide-used ICDAR 2011 and 2013 datasets and shows improved detection performance compared to the existing algorithms.

    Original languageEnglish
    Title of host publication2016 Visual Communication and Image Processing (VCIP)
    PublisherIEEE
    Pages1-4
    Number of pages4
    ISBN (Electronic)9781509053162
    ISBN (Print)9781509053179
    DOIs
    Publication statusPublished - 5 Jan 2017
    Event2016 IEEE Visual Communication and Image Processing, VCIP 2016 - Chengdu, China
    Duration: 27 Nov 201630 Nov 2016

    Conference

    Conference2016 IEEE Visual Communication and Image Processing, VCIP 2016
    CountryChina
    CityChengdu
    Period27/11/1630/11/16

    Keywords

    • CNN
    • Deep learning model
    • I-MSER
    • Scene Text Detection
    • Text region extraction

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