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"Handwritten Font Classification Method Based on Ghost Imaging" by Ruyu Yan, Xiaoxia Wang et al.

With the rapid development of the economy, financial services such as bills are also increasing day by day. Among them, the important information in the bill business, such as personal vouchers, checks, and other bills, requires manual reading and input of a large amount of digital information. In order to avoid the waste of human and financial resources, related researchers classify and recognize handwritten fonts based on the neural network classification idea of ​​deep learn...
Accuracy Rate Convolutional Neural Network Ghost Imaging Handwriting Recognition
Source: uow.edu.au

AI and Ghost Imaging Enhances Super-Resolution Imaging

Super-resolution methods based on frequency shift can boost the resolution of microscope images by two times. STORM, STED, and other methods in fluorescence microscopy can boost spatial resolution to more than 10 times the diffraction limit, and the latter received the Nobel Prize in Chemistry in 2014.
Institute Of Optics Neural Network Constraints Chinese Academy Of Sciences Nobel Prize Ghost Imaging Enhances Super Resolution Professor Guohai Situ

X-Ray Fluorescence Chemical Mapping with Ghost Imaging

AZoOptics speaks to Yishai Klein, Research Physicist from Bar-Ilan University, about his x-ray fluorescence technique based on computational ghost imaging. The new method overcomes current challenges such as limited resolution by removing focusing requirements and significantly reducing measurement times.
Laura Thomsonfeb Leadersyishai Kleinresearch Physicistbar Yishai Klein Laura Thomson Sharon Shwartz Israeli Ministry Of Science Technologies

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