Esmail  Miri, Seyyed Mohammad  Razavi, Naser  Mehrshad, 
    Recognition of the Persian Typed Sub-Words with a Hierarchical Manner,
    Journal of Engineering and Applied Sciences,
    Volume 12,Issue 8,
    2017,
    Pages 2009-2017,
    ISSN 1816-949x,
    jeasci.2017.2009.2017,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2017.2009.2017)
    Abstract: 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.
    Keywords: Search space reduction;Persian sub-words recognition;points and symbols;printed Persian sub-words;text recognition;vertical intersection characteristics