Abstract
days, a vast research is going in Optical Character Recognition (OCR) of handwritten Documents in Indian scripts. A lot of handwritten data is existed in Devanagari script which is still to be recognized. Segmentation is the key step of OCR process. Segmentation is the process of extracting the valuable segments from the text document which are used in the process of recognition of characters. Line segmentation is the process of segmenting the text document into lines. Afterwards, word segmentation and character segmentation is carried out. This paper only deals with the Line segmentation of handwritten documents in Hindi. Devanagari script is the basic script to write Hindi, Marathi, Sanskrit and Nepali languages. In this paper the brief introduction of various existing techniques for segmentation of handwritten text is discussed. Also, develops an algorithm for segmentation of skewed lines, touching lines present in the text document and broken parts in upper modifiers or space present between the upper modifiers. This algorithm is implemented on large database collected from various writers. The proposed algorithm integrated the Projection based method, gap detection between text lines and neighbor pixel analysis method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
