id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-2819	Ni, Xiang	Research on Image Recognition Technology Based on Machine Learning	2022	4	.pdf	application/pdf	3552	104	15	At present, computer image recognition based on machine learning algorithms is widely used in many fields (such as image batch processing, and traffic dispatch management), for example, in traffic dispatch management, machine learning image recognition after extracting feature vehicle information, classification, and comparison analysis, and through the vehicle storage database, quickly obtain vehicle information of different feature vector indicators, so as to carry out image data processing through classification units, so that it can obtain image feature information in time and improve the ability of actual life management and control. 4. Image Recognition System Application Analysis The machine learning computer image recognition algorithm designed and constructed in this paper has high recognition accuracy, intelligence and comprehensiveness, and has two basic characteristics: (1) For the detailed information of image recognition, the feature vector is effectively combined with the edge information recognition through edge information extraction, which improves the recognition accuracy, intelligence and comprehensiveness in the process of construction and realization.	cache/fbem-2819.pdf	txt/fbem-2819.txt