# 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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