Achieve Efficient Data Extraction Accurately
Traditional OCR can struggle with blurry scans, complex layouts, or handwritten documents. This is where advanced image processing techniques come into play, working hand-in-hand with OCR extraction to achieve optimal results. Here's how they work together: Advanced Image Processing: These techniques act as a pre-processing step, preparing scanned documents for OCR extraction. They can: Reduce noise: Remove dust, scratches, and imperfections for a cleaner image. Correct skew: Straighten documents scanned at an angle. Enhance contrast: Improve readability of faded text or text on colored backgrounds. Segment text: Isolate text from the background for accurate extraction. OCR Extraction: With a clear, pre-processed image, OCR engines can then utilize advanced algorithms like deep learning to: Recognize characters: Accurately identify even complex characters or handwritten text. Extract text: Convert the recognized characters into editable digital text. This synergy between ad