Measuring quality of Image for Optical character recognition and testing of OCR performance against image degradations
Budget: €30 – €250 EUR
In this project we are Measuring quality of Image for OCR. We are testing of OCR performance against image degradations, to identify the most significant contributors to accuracy reduction. So if the input image quality is bad OCR won't be accurate. We are given multiple test images that have different level of accuracy and have different factors effecting the image like for example noise, blurriness, shadow, entropy, warp, etc.
We need to different detection like add contrast score detection, blurness detection, entropy score detection plus warpness detection through text before giving to OCR. After that we can set thresholds for each detection to determine if its good for ocr or not.
we are testing of OCR performance against image degradations, to identify the most significant contributors to accuracy reduction. Measuring and testing factor at a time and setting a threshold after that to detrrmine ocr accuracy.
We aren't changing anything on the image, We are just measuring different factors that would effect the image quality for OCR and predicting the OCR
We need to different detection like add contrast score detection, blurness detection, entropy score detection plus warpness detection through text before giving to OCR. After that we can set thresholds for each detection to determine if its good for ocr or not.
we are testing of OCR performance against image degradations, to identify the most significant contributors to accuracy reduction. Measuring and testing factor at a time and setting a threshold after that to detrrmine ocr accuracy.
We aren't changing anything on the image, We are just measuring different factors that would effect the image quality for OCR and predicting the OCR