Abstract:
Text document segmentation is one of the
essential steps text document recognition and
extraction systems. The existing segmenting methods
are not much reliable for text with colour gradient
and texture background. Also, long processing time
of existing methods is unfavorable.
Thus, aiming to have reliable segmentation
and less processing time, a new local thresholding
method is proposed in this study. The proposed
method is based on pixel intensity magnification
concept. Non-overlapping local window is used. The
performance of proposed method is compared with
that of Otsu’s method and Niblack’s method. The
results show that the proposed method give more
reliable segmentation compared to Otus’ method, 1.2
times longer processing time. Compared to Niblack’s
method, the segmented results are comparable and
the processing time is 5 times faster.
