Projection-based text line segmentation with a variable threshold
Roman Ptak; Bartosz Zygadło; Olgierd Unold
International Journal of Applied Mathematics and Computer Science (2017)
- Volume: 27, Issue: 1, page 195-206
- ISSN: 1641-876X
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topRoman Ptak, Bartosz Zygadło, and Olgierd Unold. "Projection-based text line segmentation with a variable threshold." International Journal of Applied Mathematics and Computer Science 27.1 (2017): 195-206. <http://eudml.org/doc/288098>.
@article{RomanPtak2017,
abstract = {Document image segmentation into text lines is one of the stages in unconstrained handwritten document recognition. This paper presents a new algorithm for text line separation in handwriting. The developed algorithm is based on a method using the projection profile. It employs thresholding, but the threshold value is variable. This permits determination of low or overlapping peaks of the graph. The proposed technique is shown to improve the recognition rate relative to traditional methods. The algorithm is robust in text line detection with respect to different text line lengths.},
author = {Roman Ptak, Bartosz Zygadło, Olgierd Unold},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {document image processing; handwritten text line segmentation; projection profile; off-line cursive script recognition},
language = {eng},
number = {1},
pages = {195-206},
title = {Projection-based text line segmentation with a variable threshold},
url = {http://eudml.org/doc/288098},
volume = {27},
year = {2017},
}
TY - JOUR
AU - Roman Ptak
AU - Bartosz Zygadło
AU - Olgierd Unold
TI - Projection-based text line segmentation with a variable threshold
JO - International Journal of Applied Mathematics and Computer Science
PY - 2017
VL - 27
IS - 1
SP - 195
EP - 206
AB - Document image segmentation into text lines is one of the stages in unconstrained handwritten document recognition. This paper presents a new algorithm for text line separation in handwriting. The developed algorithm is based on a method using the projection profile. It employs thresholding, but the threshold value is variable. This permits determination of low or overlapping peaks of the graph. The proposed technique is shown to improve the recognition rate relative to traditional methods. The algorithm is robust in text line detection with respect to different text line lengths.
LA - eng
KW - document image processing; handwritten text line segmentation; projection profile; off-line cursive script recognition
UR - http://eudml.org/doc/288098
ER -
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