Segmentation of Text/Graphic from Handwritten
Mathematical Documents Using Gabor Filter
Yassine
Chajri1, Belaid Bouikhalene2, and Abdelkrim
Maarir1
1Department of Informatics, Sultan Moulay
Slimane University, Morocco
2Department of
Mathematics and Computers, Sultan Moulay Slimane University, Morocco
Abstract: Most of handwritten mathematical documents contain graphics in addition
to mathematical text. Thus, these documents must be segmented into homogenous
areas to facilitate their digitization. Text and graphic segmentation from
these documents aims at segmenting the document into two blocks: the first
contains the texts and the second includes the graphical objects. In this
paper, we focus our interest on document segmentation based on the texture and
precisely the frequency methods. These methods are ideal to characterize the
texture and allow detecting the frequencies and orientations characteristics.
Firstly, we present the main steps of our system (pre-processing, features
extraction (using Gabor filter), post-processing and text/graphic
segmentation). Secondly, we discuss and interpret the results obtained by our
system.
Keywords: Handwrite, mathematical document, segmentation, Gabor filter.
Received February 12, 2017; accepted May 10, 2017