Source: DeepHub IMBA This article is approximately 3400 words and is recommended for a 7-minute read. This article introduces the theoretical basis for finding similar images and uses a system for trademark search as an example to introduce the relevant technical implementation. This article will introduce the theoretical basis for finding similar images and uses … Read more
Recently, I was preparing some materials on machine vision and implemented a small case while writing code. You can try implementing it yourself. # Import modules import ddddocr # Call the method from the module p=ddddocr.DdddOcr() # Open the image to be recognized with open('picture/img_1.png','rb') as file: # Pass the data stream and store: ddos … Read more
Source: “Communications of the China Computer Federation”, Issue 8, “Special Topic” Author: Wang Xiaogang History of Deep Learning Development Deep learning is a significant breakthrough in the field of artificial intelligence over the past decade. It has achieved great success in various fields such as speech recognition, natural language processing, computer vision, image and video … Read more
Click on the above“Beginner’s Guide to Vision” to select “Star” or “Pin” Heavyweight content delivered first time From | Zhihu Author | Jixing Link | https://zhuanlan.zhihu.com/p/147885624 Editor | Deep Learning Matters WeChat Official Account This article is for academic exchange only. If there is any infringement, please contact us for deletion. Introduction In recent years, … Read more
The input layer reads in the normalized (uniform size) images, where each neuron in every layer takes a set of small local neighboring units from the previous layer as input, utilizing local receptive fields and weight sharing. Neurons extract some basic visual features such as edges and corners, which will later be used by higher-level … Read more
Click on the above“Beginner Learning Vision” to add aStar or “Top” Important content delivered at the first time With the rapid development of image processing technology, it has driven the emergence and development of image recognition technology, which has gradually become an important component of the field of artificial intelligence, and is widely used in … Read more
Source | Global Artificial Intelligence (ID:aicapital) Image recognition technology is an important technology in the information age, aimed at allowing computers to replace humans in processing large amounts of physical information. With the development of computer technology, human understanding of image recognition technology has deepened. The process of image recognition technology is divided into information … Read more
Click the “High Technology and Industrialization” above to subscribe! Speech recognition technology enables computers to “understand” human speech through research in signal processing and pattern recognition. In recent years, with the rapid development of deep learning technology, the accuracy of speech recognition systems has significantly improved, reaching or approaching human levels in many fields. Speech … Read more
Click the above “Visual Learning for Beginners“, select to add “Star” or “Top“ Essential content delivered promptly Conducting research on OCR ID card recognition, I will organize the algorithm flow from the perspective of basic image processing. Introduction to OCR Optical Character Recognition (OCR) The goal is to analyze and recognize characters in images, converting … Read more
Introduction Optical Character Recognition (OCR) is a branch of computer vision research, belonging to pattern recognition and artificial intelligence, and is an important component of computer science. This article will briefly describe the various components in the field of OCR, using the above image as the main clue. 1. Introduction to Optical Character Recognition Computer … Read more