Laser & Optoelectronics Progress, Volume. 56, Issue 7, 071006(2019)

Scene Text Detection Algorithm Based on Color Clustering of Textual Pixels

Min Li, Jianbin Zheng, Enqi Zhan*, and Yang Wang
Author Affiliations
  • College of Information Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
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    Figures & Tables(12)
    Flow chart of proposed method
    Color stratification process. (a) Original image; (b) distribution of all pixels in RGB space; (c) robust textual pixels; (d) distribution of only textual pixels in RGB space; (e) clustering results of textual pixels
    Schematic of dangle feature
    Comparison of color stratification results before and after grouping. (a) Original image; (b) image before improvement; (c) image after improvement
    Flow chart of multi-scale color clustering algorithm
    Original images and color stratification results. (a) Images with simple background; (b) images with complex background;(c) images with low contrast
    Comparison of color stratification results by different methods. (a) Original image; (b) proposed method; (c) method in Ref. [6]; (d1) result when d=24 in Ref. [10]; (d2) result when d=56 in Ref. [10]
    Partial text detection results
    Partial images under detection failure. (a) Influence of illumination; (b) text occlusion
    • Table 1. Constraint conditions for merging in text lines

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      Table 1. Constraint conditions for merging in text lines

      ConstraintDefinitionThresholdrange
      Height ratioHr=height(R1)/height(R2)(0.25,4)
      Width ratioWr=width(R1)/width(R2)(0.25,4)
      AngleAangle=arctan(Rh/Rw)[0,30)
      Centroiddistancedc=sqrt(Rh2+Rw2)max[width(R1),width(R2)][0,2]
      ColordistanceDcolor=sqrtC={r,g,b}(C1-C2)2[0,30)
    • Table 2. Performance comparison of different methods on ICDAR2011 database

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      Table 2. Performance comparison of different methods on ICDAR2011 database

      MethodRPf
      Proposed method0.710.820.76
      Method in Ref. [10]0.680.820.75
      Method in Ref. [13]0.680.860.76
      Method in Ref. [14]0.690.810.75
      Method in Ref. [15]0.650.840.73
    • Table 3. Performance comparison of different methods on ICDAR2013 database

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      Table 3. Performance comparison of different methods on ICDAR2013 database

      MethodRPf
      Proposed method0.730.820.77
      Method in Ref. [10]0.700.840.76
      Method in Ref. [16]0.650.840.73
      Method in Ref. [17]0.680.790.73
      Method in Ref. [18]0.630.850.72
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    Min Li, Jianbin Zheng, Enqi Zhan, Yang Wang. Scene Text Detection Algorithm Based on Color Clustering of Textual Pixels[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071006

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    Paper Information

    Category: Image Processing

    Received: Sep. 3, 2018

    Accepted: Oct. 30, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Zhan Enqi (eqzhan@whut.edu.cn)

    DOI:10.3788/LOP56.071006

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