Text Reader for Visually Impaired Person using Image Processing/Open-CV

Text Reader for Visually Impaired Person using Image Processing/Open-CV

Prof.A.V.Mote1, Rutuja Akhare2 , Vaishnavi Barde2 , Gitanjali Bhujbal2

1, Assistant Prof ,Zeal College Of Engineering And Research ,Narhe ,Pune.

2, Student, Zeal College Of Engineering And Research ,Narhe ,Pune.

ABSTRACT
This system proposes a camera-based assistive text reading framework to help blind persons ad text labels and product packaging from hand-held objects in their daily lives. To isolate the object from cluttered backgrounds or other surrounding objects in the camera view, we rest propose an ancient and active motion-based method to dine a Region Of Interest (ROI) in the video by asking the user to shake the object. In the extracted ROI, text localization and recognition are conducted to acquire text information. To automatically localize the text regions from the object ROI, we propose a novel text localization algorithm by learning gradient features of stroke orientations and distributions of edge pixels in an Ad boost model. Text characters in the localized text regions are then binaries and recognized by the shelf Optical Character

Recognition (OCR) software

Keywords: - : Text to speech, Image to Text, Optical Character Recognition, gTTS and Speech output, Python Programming.