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Optical Character Recognition (OCR)

Recognize text using optical character recognition

Recognizing text in images is a common task performed in computer vision applications. For example, you can capture video from a moving vehicle to alert a driver about a road sign. Segmenting out the text from a cluttered scene helps with related tasks such as optical character recognition (OCR).


OCR TrainerTrain an optical character recognition model to recognize a specific set of characters


ocrRecognize text using optical character recognition


ocrTextObject for storing OCR results


Local Feature Detection and Extraction

Learn the benefits and applications of local feature detection and extraction

Point Feature Types

Choose functions that return and accept points objects for several types of features

Train Optical Character Recognition for Custom Fonts

Train the ocr function to recognize a custom language or font by using the OCR app

Install OCR Language Data Files

Support files for optical character recognition (OCR) languages.

Automatically Detect and Recognize Text in Natural Images

This example shows how to detect regions in an image that contain text.

Recognize Text Using Optical Character Recognition (OCR)

This example shows how to use the ocr function from the Computer Vision System Toolbox™ to perform Optical Character Recognition.

Digit Classification Using HOG Features

This example shows how to classify digits using HOG features and a multiclass SVM classifier.