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 Zone based relative density feature extraction algorithm for unconstrained handwritten numeral recognition Subject The topic of the resource Feature extraction; Handwritten numeral recognition; K-NN classifier; Minimum distance classifier; Zoning Description An account of the resource The recognition of handwritten characters and numerals has been a challenging problem among the researchers for few decades. This paper proposes a relative density feature extraction algorithm for recognizing unconstrained single connected handwritten numerals independent of the languages. The proposed method consists of four phases, namely, image enhancement (dilation), representation (zone based), feature extraction (relative density) and recognition (minimum distance classifier). The handwritten numerals must be enhanced with dilation, in order to connect the broken digits. After enhancement, the dilated binary images can be represented as a mid-point aspect ratio class interval values. There can be M * N zones and subsequently there would be 2M*N relational density exist using mid-point aspect ratio class interval values. In order to minimize the number of features, a subset of W relative densities has been extracted from the binary image since the relative density is too large to be handled efficiently. The minimum distance classifier technique has been used to recognize the given numerals. The proposed algorithm would be an alternative to recognize the handwritten numerals for recognizing unconstrained single connected handwritten numerals. The method sounds promising with a recognition rate of 92.8567%. 2005 - 2014 JATIT &amp; LLS. All rights reserved. Creator An entity primarily responsible for making the resource Saravanan K.N.; Anitha R. Source A related resource from which the described resource is derived Journal of Theoretical and Applied Information Technology, Vol-64, No. 1, pp. 123-130. Publisher An entity responsible for making the resource available Asian Research Publishing Network (ARPN) Date A point or period of time associated with an event in the lifecycle of the resource 2014-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902285910&amp;partnerID=40&amp;md5=2a484e5211b49501fe48d4f4e3fd97a3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902285910&amp;partnerID=40&amp;md5=2a484e5211b49501fe48d4f4e3fd97a3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19928645 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 Saravanan K.N., Christ University, Bangalore, Karnataka, India; Anitha R., Muthayammal Engg. College, Rasipuram, Tamilnadu, India