Using Tesseract OCR with, python - PyImageSearch

From a Unicode perspective, characters are abstract entities which can be realized as one or more glyphs. Next, well develop a simple Python script to load an image, binarize it, and pass it through the Tesseract OCR system.

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This is definitely a bit hackish, but it gets the job done for. Each character is assigned a number, called a code point.

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A font is a mapping from characters to glyphs. However, by using the blur  pre-processing method in   we can obtain better results: Figure 4: Applying image preprocessing with Python and OpenCV to improve OCR results. Our script correctly prints the contents of the image to the console. This is followed by some cleanup on Line 39 where we delete the temporary file.

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Python Tesseract did a reasonable job here, but once again we have demonstrated the limitations of the library as an off-the-shelf classifier. In this case, our virtualenv is named. Code points above the ascii 0-127 range but below 256 are represented in the two-digit form.

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Note : pytesseract  does not provide true Python bindings. path the Python codecs module provides functions to read encoded data into Unicode strings, and to write out Unicode strings in encoded form.