Image Recognition

Recognition methods in image processing

Image recognition is the process of identifying and detecting an object or a feature in a digital image or video. This concept is used in many applications like systems for factory automation, toll booth monitoring, and security surveillance. Typical image recognition algorithms include:

• Optical character recognition
• Pattern and gradient matching
• Face recognition
• License plate matching
• Scene change detection

Many image recognition algorithms are available in Computer Vision System Toolbox, which is designed for use in MATLAB, an environment for data analysis, visualization, and algorithm development.

Examples and How To

• Computer Vision with MATLAB (Webinar)
• Solving a Sudoku Puzzle Using a Webcam 6:13 (Video)
• Barcode Recognition (Example)
• Face Detection and Tracking (Example)
• Traffic Warning Sign Recognition (Example)
• Face Detection with MATLAB (Blog)

Software Reference

• Feature Detection, Extraction, and Matching (Documentation)
• Detect Object Using Viola-Jones Algorithm (System Objects)
• Object Detection, Motion Estimation, and Tracking (System Objects)
• Locating Image Features (Transforms)

See also: image reconstruction, image transform, image enhancement, image segmentation, image and video processing, MATLAB and OpenCV, Face recognition, Object detection, Object recognition