• V. Sathya Preiya
• S.Menaka
• P.Preethi
• Sheshadri Roshni Sruthi

Speech and text is the main medium for human communication. A person needs vision to access the information in a text. However those who have poor vision can gather information from voice. This paper proposes a camera based assistive text reading to help visually impaired person in reading the text present on the captured image. The faces can also be detected when a person enter into the frame by the mode control. The proposed idea involves text extraction from scanned image using Tesseract Optical Character Recognition (OCR) and converting the text to speech by e-Speak tool, a process which makes visually impaired persons to read the text. This is a prototype for blind people to recognize the products in real world by extracting the text on image and converting it into speech. Computer vision is one of the emerging technologies that can be used to aid visually impaired people for navigation (both indoor and outdoor), accessing printed material, etc. This paper describes an approach to extract and recognize text from scene images effectively using computer vision technology and to convert recognized text into speech so that it can be incorporated with hardware to develop Electronic travel aid for visually impaired people in future.

hand gesture recognition, voice conversion, gesture to speech, speech to gesture conversion.

"CONVERSION OF GESTURES TO VOICE AND TEXT MESSAGE IN REGIONAL LANGUAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.127-130, April-2021, Available :http://www.jetir.org/papers/JETIRES06028.pdf

"CONVERSION OF GESTURES TO VOICE AND TEXT MESSAGE IN REGIONAL LANGUAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp127-130, April-2021, Available at : http://www.jetir.org/papers/JETIRES06028.pdf