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 Trainer||Train an optical character recognition model to recognize a specific set of characters|
||Recognize text using optical character recognition|
||Object for storing OCR results|
Learn the benefits and applications of local feature detection and extraction
Choose functions that return and accept points objects for several types of features
ocr function to recognize
a custom language or font by using the OCR app
Support files for optical character recognition (OCR) languages.
This example shows how to detect regions in an image that contain text.
This example shows how to use the
ocr function from the Computer Vision System Toolbox™ to perform Optical Character Recognition.
This example shows how to classify digits using HOG features and a multiclass SVM classifier.