Survey of Image Recognition Algorithms

Suzhi Zhang, Yuhong Wu, Jun Chang

20202020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)21 citationsDOI

Abstract

Images are the basis of human vision and an important way for humans to communicate with the world. Making computers with efficient and accurate image recognition is an important technical field of artificial intelligence. In recent years, image recognition technology has developed rapidly, and many new recognition technologies have emerged. This article first outlines the development process of image recognition technology; expounds the entire technical process of image recognition; introduces the main techniques of image preprocessing and image segmentation; and then summarizes the extraction of different features of images and common image classification algorithms. Such as: KNN, SVM, BP neural network, CNN. Finally, the future research development trend of image recognition is analyzed and prospected.

Topics & Concepts

Computer scienceArtificial intelligenceImage segmentationPreprocessorField (mathematics)Process (computing)Image (mathematics)Pattern recognition (psychology)Feature extractionImage processingArtificial neural networkFeature detection (computer vision)Computer visionMathematicsPure mathematicsOperating systemImage Retrieval and Classification TechniquesAdvanced Image and Video Retrieval TechniquesImage and Object Detection Techniques