How do I Choose the Best OCR Software?

The OCR engine refers to the core technology (excluding UI) of the OCR software is organized in the form of SDK (SOFTWARE DEVELOPMENT TOOLKIT) software development kit for various applications to call the OCR core technology to develop various OCR application software (such as document identification, Business card recognition, document recognition, license plate recognition, mobile terminal recognition applications, etc.).

OCR engine

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The OCR engine refers to the core technology (excluding UI) of the OCR software is organized into the SDK (SOFTWARE DEVELOPMENT TOOLKIT) software development kit form, which is used by various applications to call the OCR core technology and develop various OCR application software (such as

OCR

The OCR engine core technology module is mainly composed of the following parts:

Image input: Algorithm for reading files in different image formats.

Image pre-processing: mainly include image binarization, noise removal, tilt correction and other algorithms

Layout analysis: the document picture is divided into paragraphs, and the algorithm of the branch is called the layout analysis algorithm

Character cutting: The character cutting algorithm mainly deals with the problem that it is difficult to simply cut characters due to character sticking and broken pens.

Character Feature Extraction: Multi-dimensional features are extracted from character images for subsequent feature matching pattern recognition algorithms.

Character recognition: An algorithm that uses the feature vector extracted from the current character and the feature template library to perform coarse template classification and fine template matching to identify characters.

Layout recovery: Recognize the layout of the original document, and output the recognition result to a document such as word or pdf according to the original layout format. This is called a layout recovery algorithm.

Post-processing correction: An algorithm that corrects the recognition results based on the relationship of the specific language context.