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Paper details
Number 1 - March 2017
Volume 27 - 2017
Projection-based text line segmentation with a variable threshold
Roman Ptak, Bartosz Żygadło, Olgierd Unold
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.
Keywords
document image processing, handwritten text line segmentation, projection profile, off-line cursive script recognition