Public static void main( String.arg) throws IOException getLogger(()).log(Level.SEVERE, null, ex) System.loadLibrary(Core.NATIVE_LIBRARY_NAME) ![]() We do this so that both gray and color images are on the same level and to simplify further steps. Our first piece of code is to load the image and to convert it to grayscale. Once the environment is set up we are ready to use OpenCV and Tesseract methods in Java. In the original post you can find detailed instructions on setting up the software environment used in this article/tutorial. The OCR will be treated in the second part. In the first post of this series we will tackle pre-processing of document images using Computer Vision. If content is a table then granularity must be at level of words or letters to be able to extract columns and rows. The finer the granularity the more information about the layout is retained. Depending on the recognition granularity the rectangle can be per letter, per word, per line or per whole page. The output of OCR is a list of rectangles and detected text. The OCR algorithm uses additional computer vision methods to segment foreground into letters and uses pattern matching to decide which letters they are. ![]() Such processed image is then fed into OCR. If all goes well the output of pre-processing and also the input to optical character recognition is a cleaned up, monochrome picture where the white foreground is the text we want to extract and everything else is black background. This includes color transformation, contrast enhancement, noise reduction, rectification and binarization. We use methods developed in computer vision to prepare the picture. The overall process of transforming a picture to text involves two key elements: ![]() The contents can be a business card, an invoice or a financial report. In this process the input is a picture of a document, scanned in or taken by a mobile phone. We would like to show you how pictures are transformed into text that can be used for machine learning and more. On the other hand if your job is data entry and if you have a stack of reports full of tables and if all those tables need to be transferred to excel you might prefer the words. They say that a picture is worth a thousand words.
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