Optical Character Recognition (OCR) MasterClass in Python

Description

Welcome to Course “Optical Character Recognition (OCR) MasterClass in Python” 

Optical character recognition (OCR) expertise is a enterprise resolution for automating information extraction from printed or written textual content from a scanned doc or picture file after which changing the textual content right into a machine-readable kind for use for information processing like modifying or looking.

BENEFITS OF OCR:

• Scale back prices

• Speed up workflows

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• Automate doc routing and content material processing

• Centralize and safe information (no fires, break-ins or paperwork misplaced in the again vaults)

• Enhance service by guaranteeing staff have probably the most up-to-date and correct data

Some Key Studying Outcomes of this course are:

• Recognition of textual content from pictures utilizing OpenCV and Pytesseract.

• Study to work with Picture information and manipulate it utilizing Pillow Library in Python.

• Construct Initiatives like License Plate Detection, Extracting Dates and different essential data from pictures utilizing the ideas mentioned in this course.

• Learn the way Machine Studying could be helpful in sure OCR issues.

• This course covers primary fundamentals of Machine Studying required for getting correct OCR outcomes.

• Construct Machine Studying fashions with textual content recognition accuracy of above 90%.

• You’ll study completely different picture preprocessing strategies corresponding to grayscaling, binarization, erosion, dilation and so forth… which is able to assist to enhance the picture high quality for higher OCR outcomes.