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Smart Image Reader in Textile Industry

At the present time there is a need for the extraction of text from Images by converting images into text. One simple method to store the information is to scan the document which is stored as images. When a text that has been presented in a fixed image form in order to achieve a certain style. The stored image cannot be edited by the user based on the application requirements. Sometimes the screen readers and other assistive technologies cannot read text that’s contained inside an image. Hence the extraction of text from Image is required in textile industry for certain reason such that the Images of text are fixed in size and position, so they do not get used to well. In textile industries of printing section identification in different font and with backgrounds with improved accuracy is needed. In recent years text extraction from images is one of the widely used concepts in Image Analysis and OCR. In this proposed work the existing OCR technology is involved in the conversion of scanned images of printed text into text or information. It involves three steps scanning acquisition of printed documents and recognition and the final step involves extracting the text. The character recognition method is presented using OCR technology and a webcam with high quality. The implementation of the work is done with the help of OCR using python, the image is converted into text using appropriate steps includes scanning, pre-processing, and finally converting into text. The accuracy obtained with the help of OCR is 90 % and above. Finally, this method seems to be very efficient in extracting more complex images into text.