Image Text to Speech Conversion using Raspberry PI and OCR Techniques

Image Text to Speech Conversion can be used to read labels and text on banners of different sizes. To capture the image of the object we propose a camera or a wi-fi/ Bluetooth based device. These devices will capture the image with the help of raspberry pi and camera modules associated with it. In the extracted ROI, text finding and recognition are conducted to acquire text information. To automatically understand the text from the image we propose a tesseract optical character recognition(ocr) module which will understand the image. Text obtained from the image is then localized and converted to text format. The recognized text codes are output to users in speech. Performance of the proposed text recognition methods are proposed on normal paper with large font text and banners of large size. Experimental results demonstrate that our algorithm achieves the state of the arts. The proof or our concept is also evaluated on normal images and banners. We explore user image capturing issues and assess robustness of the algorithm in extracting and reading text from different objects with complex backgrounds.