FUZZY BASED PREPROCESSING USING FUSION OF ONLINE AND OFFLINE TRAIT FOR ONLINE URDU SCRIPT BASEDLANGUAGES CHARACTER RECOGNITION
Identifieur interne : 001B56 ( Main/Exploration ); précédent : 001B55; suivant : 001B57FUZZY BASED PREPROCESSING USING FUSION OF ONLINE AND OFFLINE TRAIT FOR ONLINE URDU SCRIPT BASEDLANGUAGES CHARACTER RECOGNITION
Auteurs : Muhammad Imran Razzak [Pakistan] ; Afaq Syed ; Abdulrahman A. Mirza ; Belaïd Abdel [France]Source :
- International Journal of Innovative Computing, Information and Control [ 1349-4198 ] ; 2012-05-01.
English descriptors
- mix :
Abstract
Character recognition has been fascinating and intense field of pattern recognitionresearch since early days of computer. This task becomes more challenging whenit involves Urdu script based languages especially written in handwritten Nasta’liq fontdue to the large variations and complexity of the script. Fuzzy logic is an important toolto deal with vague, incomplete, noisy and contradictory information. In order to makehandwritten communication with machine more natural, we propose several preprocessingsteps for handwritten online Urdu script character recognition to overcome the issue inraw input. We present fuzzy based several preprocessing operations in order to normalizethe handwritten stroke using both online and offline domain. The proposed technique isalso the necessary step towards character recognition, person identification, personalitydetermination where input data are processed from all perspectives.
Url:
DOI: 10.1109/ICET.2009.5353203
Affiliations:
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This task becomes more challenging whenit involves Urdu script based languages especially written in handwritten Nasta’liq fontdue to the large variations and complexity of the script. Fuzzy logic is an important toolto deal with vague, incomplete, noisy and contradictory information. In order to makehandwritten communication with machine more natural, we propose several preprocessingsteps for handwritten online Urdu script character recognition to overcome the issue inraw input. We present fuzzy based several preprocessing operations in order to normalizethe handwritten stroke using both online and offline domain. The proposed technique isalso the necessary step towards character recognition, person identification, personalitydetermination where input data are processed from all perspectives.</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>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><noCountry><name sortKey="Mirza, Abdulrahman A" sort="Mirza, Abdulrahman A" uniqKey="Mirza A" first="Abdulrahman A." last="Mirza">Abdulrahman A. Mirza</name><name sortKey="Syed, Afaq" sort="Syed, Afaq" uniqKey="Syed A" first="Afaq" last="Syed">Afaq Syed</name></noCountry><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></country><country name="France"><region name="Grand Est"><name sortKey="Abdel, Belaid" sort="Abdel, Belaid" uniqKey="Abdel B" first="Belaïd" last="Abdel">Belaïd Abdel</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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