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HomeHomework Helpcomputer-scienceOptical Character Recognition

Optical Character Recognition

The field of study and application of computer vision and machine learning algorithms to recognize and extract text from images, scans, and other visual documents, including the various techniques, tools, and software used for accurate text recognition and document analysis

intermediate
3 hours
Computer Science
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Overview

Optical Character Recognition (OCR) technology plays a vital role in converting physical documents into digital formats, making information more accessible. By utilizing image processing and machine learning techniques, OCR systems can accurately recognize and extract text from various sources, incl...

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Key Terms

Binarization
The process of converting an image into a binary format (black and white).

Example: Binarization helps in isolating text from the background.

Segmentation
Dividing an image into parts to simplify analysis.

Example: Segmentation is used to separate individual characters in OCR.

Neural Networks
A set of algorithms modeled after the human brain, used in machine learning.

Example: Neural networks can learn to recognize characters in different fonts.

Post-processing
The final step in OCR where the output is refined for accuracy.

Example: Post-processing corrects common OCR errors.

Character Recognition
The ability of a computer to identify and process characters from images.

Example: Character recognition is the core function of OCR.

Data Extraction
The process of retrieving specific data from a larger dataset.

Example: OCR enables data extraction from scanned documents.

Related Topics

Image Processing
The manipulation of images to enhance their quality or extract information.
intermediate
Machine Learning
A subset of artificial intelligence that enables systems to learn from data.
advanced
Natural Language Processing
The ability of a computer to understand and process human language.
advanced

Key Concepts

Image ProcessingText RecognitionMachine LearningData Extraction