A two-stage algorithm based on deep learning for the detection and recognition of can bottom spray codes and numbers is proposed to address the problems of small character areas and fast production line speeds in can ...
supported by the National Natural Science Foundation of China(Grant No.32060288);the National Natural Science Foundation of China(Grant No.32160300);the Bingtuan Science and Technology Program(Grant No.2019AB007);the Science and Technology Planning Project of the first division of Alaer city(Grant No.2022XX06).
Robust, accurate, and fast monitoring of residual plastic film (RPF) pollution in farmlands has great significance. Based on CBAM-DBNet, this study proposed a threshold-adaptive joint framework for identifying the RPF...
Finger vein extraction and recognition hold significance in various applications due to the unique and reliable nature of finger vein patterns. While recently finger vein recognition has gained popularity, there are s...
supported by the Natural Science Foundation of Sichuan Province of China under Grant No.2022NSFSC0500;the National Natural Science Foundation of China under Grant No.62072076.
As a core component in intelligent edge computing,deep neural networks(DNNs)will increasingly play a critically important role in addressing the intelligence-related issues in the industry domain,like smart factories ...
This paper introduces the third enhanced version of a genetic algorithm-based technique to allow fast and accurate detection of vehicle plate numbers(VPLN)in challenging image datasets.Since binarization of the input ...
The reseach work was supported by the National Key Research and Development Program of China(2017YFB1002104);the National Natural Science Foundation of China(Grant Nos.92046003,61976204,U1811461);Xiang Ao was also supported by the Project of Youth Innovation Promotion Association CAS and Beijing Nova Program(Z201100006820062).
Word-embedding acts as one of the backbones of modern natural language processing(NLP).Recently,with the need for deploying NLP models to low-resource devices,there has been a surge of interest to compress word embedd...
Background:Contrast enhancement plays an important role in the image processing field.Contrast correction has performed an adjustment on the darkness or brightness of the input image and increases the quality of the i...
funded by the Ministry of Higher Education,Malaysia for providing facilities and financial support under the Long Research Grant Scheme LRGS-1-2019-UKM-UKM-2-7.
Achieving a good recognition rate for degraded document images is difficult as degraded document images suffer from low contrast,bleedthrough,and nonuniform illumination effects.Unlike the existing baseline thresholdi...
This work was supported by Scientific Research Starting Project of SWPU[Zheng,D.,No.0202002131604];Major Science and Technology Project of Sichuan Province[Zheng,D.,No.8ZDZX0143];Ministry of Education Collaborative Education Project of China[Zheng,D.,No.952];Fundamental Research Project[Zheng,D.,Nos.549,550].
In the sorting system of the production line,the object movement,fixed angle of view,light intensity and other reasons lead to obscure blurred images.It results in bar code recognition rate being low and real time bei...
supported by National Forestry Public Welfare Industry Scientific Research Special Subsidy Project(201304502)
In this study,an image binarization optimization algorithm,based on local threshold algorithms,is proposed because global and traditional local threshold segmentation algorithms cannot effectively address the problems...