Year: 2021
Type: article
Abstract: After decades of machine literacy research, image recognition, position discovery, image bracket, image product, audio recognition, natural language processing, and others remain unsolved. Deep literacy's most fundamental study direction is image categorization. concurrently, intelligent computer picture technology allows progressive enhancement in response to transnational links and the development and progress of multiple disciplines. Therefore, machine literacy-based technology for image processing is popular in a variety of industries and is utilised extensively in point image, bracket, segmentation, and recognition. The complexity of VHS filmland and the placement of items over colourful operation backgrounds make bracket delicacy noteworthy and sensitive. The paper transportation assiduity uses image recognition technology to recognise licence plates from complex backgrounds, honour licence plate characters, and create a machine learning non-license plate automatic generation algorithm to improve non-license plate recognition. Diverse and fast-created licence plate training sample sets teach powerful classifiers. A method that optimises a BP neural network to categorise licence plates improves anti-interference and identification delicacy
Author: Himani Sivaraman
Institution: Graphic Era Hill University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4380521663