Multi-font Numerals Recognition for Urdu Script based Languages
Identifieur interne : 003315 ( Main/Exploration ); précédent : 003314; suivant : 003316Multi-font Numerals Recognition for Urdu Script based Languages
Auteurs : Muhammad Imran Razzak [Pakistan] ; S. A. Hussain [Pakistan] ; Abdel Belaïd [France] ; Muhammad Sher [Pakistan]Source :
Abstract
Handwritten character recognition of Urdu script based languages is one of the most difficult task due to complexities of the script. Urdu script based languages has not received much attestation even this script is used more than 1/6th of the population. The complexities in the script makes more complicated the recognition process. The problem in handwritten numeral recognition is the shape similarity between handwritten numerals and dual style for Urdu. This paper presents a fuzzy rule base, HMM and Hybrid approaches for the recognition of numerals both Urdu and Arabic in unconstrained environment from both online and offline domain for online input. Basically offline domain is used for preprocessing i.e normalization, slant normalization. The proposed system is tested and provides accuracy of 97.1%
Url:
Affiliations:
- France, Pakistan
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Le document en format XML
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Urdu script based languages has not received much attestation even this script is used more than 1/6th of the population. The complexities in the script makes more complicated the recognition process. The problem in handwritten numeral recognition is the shape similarity between handwritten numerals and dual style for Urdu. This paper presents a fuzzy rule base, HMM and Hybrid approaches for the recognition of numerals both Urdu and Arabic in unconstrained environment from both online and offline domain for online input. Basically offline domain is used for preprocessing i.e normalization, slant normalization. The proposed system is tested and provides accuracy of 97.1%</div></front></TEI><affiliations><list><country><li>France</li><li>Pakistan</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="Pakistan"><noRegion><name sortKey="Imran Razzak, Muhammad" sort="Imran Razzak, Muhammad" uniqKey="Imran Razzak M" first="Muhammad" last="Imran Razzak">Muhammad Imran Razzak</name></noRegion><name sortKey="Hussain, S A" sort="Hussain, S A" uniqKey="Hussain S" first="S. A." last="Hussain">S. A. Hussain</name><name sortKey="Sher, Muhammad" sort="Sher, Muhammad" uniqKey="Sher M" first="Muhammad" last="Sher">Muhammad Sher</name></country><country name="France"><region name="Grand Est"><name sortKey="Belaid, Abdel" sort="Belaid, Abdel" uniqKey="Belaid A" first="Abdel" last="Belaïd">Abdel Belaïd</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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