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In this research, an attempt has been made to develop a
recognition strategy for printed English character (A to Z) to help
visually impaired people to overcome their disability in reading.
Images in specific formats such as JPEG, BMP, JPG etc. were took
as input images. Then the noise which comes to the image in
acquisition was filtered. After that the coloured image was
converted to a binary image using a suitable threshold. Then
segmentation technique was used to identify connected areas while
bounding boxes were used to identify individual letters. Finally
recognition was done using a Statistical algorithm which uses a pre
stored example database. Database is a collection of English
alphabet letters saved as images. Apart from the recognition a
complete system of image acquisition and a text to voice conversion
strategy was developed to make the system more useful which
helps visually impaired person to understand a the context of a
writing.
