@article{MAKHILLIJSC201914121461,
    title = {Effective Method for Segmentation of Arabic Manuscript Documents},
    journal = {International Journal of Soft Computing},
    volume = {14},
    number = {1},
    pages = {28-32},
    year = {2019},
    issn = {1816-9503},
    doi = {ijscomp.2019.28.32},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2019.28.32},
    author = {Aicha Mint,Kamal Eddine EL,Youness,Mohamed Lamine,Lamarti Sefian and},
    keywords = {Arabic handwritten documents,vertical projection profile,horizontal projection profile,binary
image,Arabic manuscript,segmentation},
    abstract = {In this study, we are interested in Arabic handwritten documents. We propose a method of
segmentation of Arabic manuscript documents first in lines, then in words and finally, proceed to their
annotation. This research poses a number of problems because of the difficulties related to the processing of
Arabic manuscripts. After binarizing the images of the Arabic handwritten documents, we compute the vertical
projection profile of the text image to determine the lines of text, then the horizontal projection profile for the
segmentation of lines into words and finally, the detection of under words and real words. The technique we
offer allows us to access the content of the handwritten documents in a very efficient and fast way.}
    }