Jincheng Li, Xiaojuan Wang, Weilan Wang, Qiang Lin, Pengfei Hu. Text Line Segmentation of Tibetan Historical Documents Based on Text Core Regions Combined with Expansion Growth[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210008
- Laser & Optoelectronics Progress
- Vol. 58, Issue 2, 0210008 (2021)
Fig. 1. Partial illustration of lines in ancient Tibetan texts. (a) Baseline and syllable points; (b) slanted text line; (c) distorted text line; (d) overlapping and adhesion of text lines
Fig. 2. Flow chart of method
Fig. 3. Tibetan historical document image
Fig. 4. Syllable point detection of Tibetan historical document. (a) Binary map after layout processing (black background area is local binary map); (b) syllable point image
Fig. 5. Projection images. (a) Horizontal projection of syllable point image; (b) vertical projection of binary original image
Fig. 6. Formation of pseudo-text connected regions. (a) Image of text core area; (b) image of pseudo-text connected region
Fig. 7. Schematic of pixel point expansion growth process. (a) Pixel point without expansion; (b) pixel point during expansion; (c) pixel point after expansion
Fig. 8. Line acquisition of pseudo text. (a) Expansion growth result; (b) pseudo-text lines
Fig. 9. Local diagram in attribution process of broken strokes. (a) Text lines to be split; (b) pseudo-text lines; (c) complete split lines
Fig. 10. Final segmentation result of local image
Fig. 11. Text lines and their segmentation results. (a)(c)(e) Original images; (b)(d)(f) segmentation results
Fig. 12. Segmentation effects of overlapped, adhered and broken strokes. (a)(b) Overlapped strokes; (c)(d) adhered strokes; (e)(f) broken strokes
Fig. 13. Wrong segmentation and corresponding correct forms. (a)(c)(e)Wrong segmentation; (b)(d)(f)corresponding correct forms
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Table 1. Text line segmentation results under different parameters
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