• P.VENKATESH, N PRIYANKA

Now a days printed text is one of the prominent communication medium to get product names, sign boards message, Restaurant menu etc. In order to get this information blind people need some assistance. In recent years there is a vast improvement in image processing and embedded systems. In this project we proposed an efficient system for blind people to read printed text by combining image processing and embedded systems. Camera acts as main vision in detecting the label image of the product or board then image is processed internally and separates label from image by using Matlab and finally identifies the product name and by using serial communication transfer this information to ARM 7 microcontroller. Microcontroller processes received information and pronounces product name or message by using voice module APR 9600 and speaker. To isolate the object from complex backgrounds, we first propose an effective motion-based method to define a region of interest (ROI) in the image. In the extracted ROI, text localization and recognition are conducted to acquire text information. An experimental result shows that our system achieves the state-of-the-arts and Self-Dependency for disabled persons increased.

Assistive devices; Blindness; Arm 7; Image processing; Text to voice;

"CAMERA BASED TEXT AND PRODUCT LABEL READING FROM HANDHELD OBJECTS FOR BLIND PERSONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.82-86, September-2018, Available :http://www.jetir.org/papers/JETIRE006013.pdf

"CAMERA BASED TEXT AND PRODUCT LABEL READING FROM HANDHELD OBJECTS FOR BLIND PERSONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp82-86, September-2018, Available at : http://www.jetir.org/papers/JETIRE006013.pdf