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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Title A name given to the resource Information extraction and text mining of Ancient Vattezhuthu characters in historical documents using image zoning Subject The topic of the resource Character Recognition; Image Zoning; Machine Translation; Segmentation; Vattezhuthu Description An account of the resource The aim of this paper is to develop a system that involves character recognition of Brahmi, Grantha and Vattezuthu characters from palm manuscripts of historical Tamil ancient documents, analyzed the text and machine translated the present Tamil digital text format. Though many researchers have implemented various algorithms and techniques for character recognition in different languages, ancient characters conversion still poses a big challenge. Because image recognition technology has reached near-perfection when it comes to scanning English and other language text. But optical character recognition (OCR) software capable of digitizing printed Tamil text with high levels of accuracy is still elusive. Only a few people are familiar with the ancient characters and make attempts to convert them into written documents manually. The proposed system overcomes such a situation by converting all the ancient historical documents from inscriptions and palm manuscripts into Tamil digital text format. It converts the digital text format using Tamil unicode. Our algorithm comprises different stages: i) image preprocessing, ii) feature extraction, iii) character recognition and iv) digital text conversion. The first phase conversion accuracy of the Brahmi script rate of our algorithm is 91.57% using the neural network and image zoning method. The second phase of the Vattezhuthu character set is to be implemented. Conversion accuracy of Vattezhuthu is 89.75%. 2016 IEEE. Creator An entity primarily responsible for making the resource Vellingiriraj E.K.; Balamurugan M.; Balasubramanie P. Source A related resource from which the described resource is derived Proceedings of the 2016 International Conference on Asian Language Processing, IALP 2016, pp. 37-40. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IALP.2016.7875929" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IALP.2016.7875929</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017229777&amp;doi=10.1109%2FIALP.2016.7875929&amp;partnerID=40&amp;md5=00086ba161f1ed0f4217ff2dafec4112" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017229777&amp;doi=10.1109%2fIALP.2016.7875929&amp;partnerID=40&amp;md5=00086ba161f1ed0f4217ff2dafec4112</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-150900921-3 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vellingiriraj E.K., Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, India; Balamurugan M., Department of Computer Science and Engineering, Christ University, Bangalore, Karnataka, India; Balasubramanie P., Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, India