Work

Inkjet printer prediction under complicated printing conditions based on microscopic image features

Year: 2024

Type: article

Source: Science & Justice

DOI: 10.1016/j.scijus.2024.03.001

Authors: Yan-ling Liu, Zi-feng Jiang, Guang-lei Zhou, Ya-wen Zhao, Yu-yu Hao, Jing-yuan Xu, Xu Yang, Xiao-hong Chen

Institutions: East China University of Political Science and Law, Institute of Forensic Science

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Shanghai Municipal People's Government

OpenAlex ID: W4392559751

FWCI: 0.743

Cites: 16

Cited by: 7

Related to: 10