TY  - JOUR
T1  - Recognition of the Persian Typed Sub-Words with a Hierarchical Manner
AU - Miri, Esmail AU - Razavi, Seyyed Mohammad AU - Mehrshad, Naser 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 8
SP  - 2009
EP  - 2017
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.2009.2017
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.2009.2017
KW  - Search space reduction
KW  -Persian sub-words recognition
KW  -points and symbols
KW  -printed Persian sub-words
KW  -text recognition
KW  -vertical intersection characteristics
AB  - In this study, a simple way to recognize the Persian typed sub-words are provided. First, the search
space is limited by using a few simple characteristics and according to the position of points and signs of input
sub-words. Then by using the ofloci features, two sub-words with the smallest distance than input sub-word
are selected. Also, two sub-words are selected by using zoning features and minimum distance criteria. To
select final sub-word among following four sub-words, the number of text vertical intersection with field feature
is used. This method was tested for Lotus font and 98.18% recognition rate is achieved for test data.
ER  -