DocumentCode :
174391
Title :
Handwriting recognition system for mobile accessibility to the visually impaired people
Author :
Mendonca Gouveia, Felipe ; Leite Dantas Bezerra, Byron ; Zanchettin, Cleber ; Jardim Meneses, Joao Raul
Author_Institution :
Polytech. Sch. of Pernambuco, Univ. of Pernambuco, Recife, Brazil
fYear :
2014
fDate :
5-8 Oct. 2014
Firstpage :
3918
Lastpage :
3923
Abstract :
This paper proposes the combination of preprocessing and handwriting recognition approaches aiming to develop a flexible and assistive mobile tool to help visually impaired people to understand and interact with handwriting text. The proposed system is described and its performance is evaluated in the IAM Handwriting Database. The system presented promising results and may aid visually impaired to overcome an everyday accessibility barrier as handwriting recognition.
Keywords :
handicapped aids; handwriting recognition; mobile computing; IAM handwriting database; assistive mobile tool; flexible mobile tool; handwriting recognition system; handwriting text; mobile accessibility; visually impaired people; Cameras; Databases; Feature extraction; Handwriting recognition; Image segmentation; Mobile communication; Mobile handsets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SMC.2014.6974543
Filename :
6974543
Link To Document :
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