PDF text annotation and summary extraction using OCR technique
Text in photos contains vital information for indexing and retrieval, as well as automatic annotation and image structuring. As a result, text extraction is an important part of the picture analysis process. Because of the differences in text size, font, style, orientation, and alignment, as well as the complex background, text extraction is a difficult operation. Several text extraction approaches have been developed, including edge detection, linked component analysis, morphological operators, wavelet transform, texture characteristics, and neural networks. This project entails extracting text using OCR and then summarizing the retrieved material according to the requirements.