Multi-font Numerals Recognition for Urdu Script based Languages

Muhammad Imran Razzak (1) , S.A. Hussain (2) , Abdel Belaïd (3) , Muhammad Sher (1)

1 Department of Computer Science [IIU - Islamabad]
2 Department of Computer Science [AU - Islamabad]
3 READ - READ

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%

Domaines: Traitement du texte et du document

Muhammad Imran Razzak, S.A. Hussain, Abdel Belaïd, Muhammad Sher. Multi-font Numerals Recognition for Urdu Script based Languages. International Journal of Recent Trends in Engineering , 2009. ⟨inria-00437121⟩