DocumentCode :
1697346
Title :
A review of optical Braille recognition
Author :
Isayed, Samer ; Tahboub, Radwan
Author_Institution :
Inf., Palestine Polytech. Univ., Hebron, Palestinian Authority
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
The process to take a Braille document image and convert its content into its equivalent natural language characters, is called Optical Braille Recognition (OBR). It involves two main consecutive steps: Braille cell recognition and Braille cell transcription. Braille cell recognition contains few steps including: Image acquisition, Image De-skewing, Image pre-processing, dot recognition, cell recognition and segmentation. Image transcription aims to convert the segmented Braille cell, into its equivalent natural language characters. In this survey we aim to study the earlier works done by other researchers on both Braille cell recognition and transcription.
Keywords :
document image processing; image recognition; image segmentation; natural languages; Braille cell recognition; Braille cell transcription; Braille document image; OBR; cell recognition; cell segmentation; dot recognition; equivalent natural language characters; image acquisition; image de-skewing; image preprocessing; optical Braille recognition; Character recognition; Heuristic algorithms; Image recognition; Image segmentation; Natural languages; Noise; Optical imaging; Braille; Braille Recognition; Image Processing; Neural Network; Support Vector Machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Applications and Networking (WSWAN), 2015 2nd World Symposium on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-8171-7
Type :
conf
DOI :
10.1109/WSWAN.2015.7210343
Filename :
7210343
Link To Document :
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