What is zonal OCR?
What is zonal OCR?
Zonal OCR is a type of optical character recognition implemented by LogicalDOC that allows the software to read specific areas or “zones” of a document. These zones are determined by setting up proper OCR templates in the LogicalDOC’s administration.
How do you use zonal OCR?
With Zonal OCR, all users must do is prespecify which fields are important to them, then scan a documents into the scanner and upload it to zonal OCR system. Once the PDF is scanned, all the information is automatically brought into the document profile fields of eFileCabinet.
Which OCR engine is used to extract data from scanned documents?
AWS Textract automatically extracts text and other data from scanned documents using machine learning and OCR. It is also used to identify, understand, and extract data from forms and tables.
Why is OCR not accurate?
In some cases, OCR software cannot produce sufficiently consistent field confidence scores to establish an ordered list of answers that allow selection of a single confidence score threshold (where answers above the threshold are mostly accurate).
How is median blur used in Tesseract OCR?
Applying a median blur can help reduce salt and pepper noise, again making it easier for Tesseract to correctly OCR the image. After pre-processing the image, we use os.getpid to derive a temporary image filename based on the process ID of our Python script ( Line 33 ).
How to use tesseract binary for Optical Character Recognition?
In last week’s blog post we learned how to install the Tesseract binary for Optical Character Recognition (OCR). We then applied the Tesseract program to test and evaluate the performance of the OCR engine on a very small set of example images.
Is there an OCR wrapper for Tesseract in Python?
Pytesseract is a wrapper for Tesseract-OCR Engine. It is also useful as a stand-alone invocation script to tesseract, as it can read all image types supported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff, and others. More info about Python approach read here.
Is there a binarization method for Tesseract OCR?
For details on Otsu’s method, see “Otsu’s Binarization” in the official OpenCV documentation. We will see later in the results section that this thresholding method can be useful to read dark text that is overlaid upon gray shapes. Alternatively, a blurring method may be applied.