Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of broken characters in degraded documents Subject The topic of the resource Chain code; Heuristic information; Horizontal projection profile; Mean-based thresholding; OCR; Vertical projection profile Description An account of the resource Optical Character Recognition (OCR) deals with the recognition of characters in a text document. Steps like Preprocessing, Segmentation and Recognition are embedded in the OCR machine. When a document is scanned it will be taken into OCR and will recognize the characters. But noisy scanning of documents, low-quality printed documents and thresholding error leads to the generation of broken characters. When these documents are given as inputs into OCR, the recognition becomes a tedious process since the broken characters are misunderstood by the OCR machine. So the broken characters have to be identified and segmented separately. This work aims to enhance the degraded documents with broken characters using image processing techniques. For identifying or recognizing the broken character from the image various techniques like vertical projection profile, horizontal projection profile, chain code, mean based thresholding are used. The lines from the document are separated using line segmentation. Separate characters are extracted using Vertical Projection Profile and Horizontal Projection Profile. The character is identified using chain coding. The broken characters are found from them using Mean-based Thresholding and is merged using Heuristic information. The proposed method achieves an accuracy of 92.88% and also performs well for color image documents as well as black and white image documents also because of the effective preprocessing. 2018 Intelligent Network and Systems Society. Creator An entity primarily responsible for making the resource Ramalingam K.; Bhojan R. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-11, No. 3, pp. 130-137. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/IJIES2018.0630.14" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/IJIES2018.0630.14</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050968301&amp;doi=10.22266%2FIJIES2018.0630.14&amp;partnerID=40&amp;md5=aed79443139d4376c917bc45e98201f7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050968301&amp;doi=10.22266%2fIJIES2018.0630.14&amp;partnerID=40&amp;md5=aed79443139d4376c917bc45e98201f7</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramalingam K., Department of Computer Science, Christ University, Hosur Road, Bengaluru, Karnataka, India; Bhojan R., Department of Computer Science, Christ University, Hosur Road, Bengaluru, Karnataka, India