{"id":4354,"date":"2021-01-22T13:25:00","date_gmt":"2021-01-22T18:25:00","guid":{"rendered":"https:\/\/www.simpleocr.com\/?post_type=epkb_post_type_1&p=4354"},"modified":"2022-06-22T11:33:23","modified_gmt":"2022-06-22T15:33:23","slug":"what-are-the-best-scanner-settings-for-ocr","status":"publish","type":"epkb_post_type_1","link":"https:\/\/www.simpleocr.com\/knowledge-base\/what-are-the-best-scanner-settings-for-ocr\/","title":{"rendered":"What are the best scanner settings for OCR?"},"content":{"rendered":"\r\n
Most OCR applications<\/a> are optimized for 300 dots per inch resolution images.<\/p>\r\n\r\n\r\n\r\n While color is supported and most often performs better than black & white images, OCR algorithms will generally convert the color to B&W automatically as part of the OCR process. With color input, the dynamic conversion usually produces the best result, but not always.<\/p>\r\n\r\n\r\n\r\n Especially when an image contains stray markings, stamps, notes, colored paper or other elements that can throw off the binarization process, OCR results can be improved by paying careful attention to image processing settings and using a pristine black & white image for OCR instead of a color scan.<\/p>\r\n\r\n\r\n\r\n In forms processing<\/a> and handprint recognition<\/a> applications, guide marks in the form can often be removed during the scanning process, improving the OCR results when the software doesn’t have to distinguish between the form background and the words being recognized.<\/p>\r\n\r\n\r\n\r\n