FUZZY BASED PREPROCESSING USING FUSION OF ONLINE AND OFFLINE TRAIT FOR ONLINE URDU SCRIPT BASED LANGUAGES CHARACTER RECOGNITION
Résumé
Character recognition has been fascinating and intense field of pattern recognition
research since early days of computer. This task becomes more challenging when
it involves Urdu script based languages especially written in handwritten Nasta’liq font
due to the large variations and complexity of the script. Fuzzy logic is an important tool
to deal with vague, incomplete, noisy and contradictory information. In order to make
handwritten communication with machine more natural, we propose several preprocessing
steps for handwritten online Urdu script character recognition to overcome the issue in
raw input. We present fuzzy based several preprocessing operations in order to normalize
the handwritten stroke using both online and offline domain. The proposed technique is
also the necessary step towards character recognition, person identification, personality
determination where input data are processed from all perspectives.