Abstract:
Large amount of information are
embedded in natural scenes. Signs are good
example of natural objects with high information
content. Visually impaired individuals are unable
to utilize the significant amount of information in
signs. This paper presents a system for detecting
and recognizing the signs in the environment
specially written in Bengali and voice
synthesizing their contents. In this paper we
present an algorithm for detection and
localization of text in road sign using edge
detection approach. We use an adaptive
thresholding method to binarize the text blocks
and recognize the text using a neural network
based OCR module. Finally, the recognized text is
synthesized as voice output message convenient
for visually impaired. The detection, recognition
and speech synthesis modules each perform well
on their respective task, and initial evaluation of
the complete system is promising.
