Title :
Numeral recognition for Urdu script in unconstrained environment
Author :
Razzak, Muhammad Imran ; Hussain, S.A. ; Sher, Muhammad
Author_Institution :
Int. Islamic Univ., Islamabad, Pakistan
Abstract :
Online character recognition of Urdu script based languages is one of the most difficult task due to cursive in nature. Urdu script based languages has not received much attestation even this script is used 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. This paper presents a fuzzy rule base approach for the recognition of numerals both Urdu and Arabic in unconstrained environment. The proposed system is tested and provides accuracy of 96.3%.
Keywords :
fuzzy set theory; handwritten character recognition; natural language processing; Urdu script based languages; fuzzy rule base approach; handwritten numerals; numeral recognition; online character recognition; unconstrained environment; Character recognition; Feature extraction; Feeds; Handwriting recognition; Image recognition; Image segmentation; Nearest neighbor searches; Nonhomogeneous media; Pattern recognition; Timing; Arabic numerals; Numerals; Urdu; character recogniion; fuzzy logics;
Conference_Titel :
Emerging Technologies, 2009. ICET 2009. International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4244-5630-7
Electronic_ISBN :
978-1-4244-5631-4
DOI :
10.1109/ICET.2009.5353203