Improvement of Grey Wolf Optimization Algorithm and Its Application in QR-Code Recognition

Yan Chunman; Chen Jiahui; Ma Yunting; Hao Youfei; Zhang Di

doi:10.3788/LOP57.021015

[1] Ahn M, Lee S. A research on QR code recognition enhancement using pre-constructed image matching scheme. [C]∥2014 International Conference on Information and Communication Technology Convergence (ICTC), October 22-24, 2014, Busan, Korea. New York: IEEE, 82-83(2014).

[2] Xiong Y, Wang L C, Ai Q L. QR code recognition method based on correlation match[J]. Chinese Journal of Scientific Instrument, 32, 571-576(2011).

[3] Gu X L, Huang M, Qi H Y. 2-dimensional bar code recognition based on genetic algorithms[J]. Journal of Dalian Railway Institute, 26, 47-51(2005).

[4] Hou A L, Feng Y, Jiao S L et al. QR code image recognition based on run-length coding[J]. Journal of Changchun University of Technology(Natural Science Edition), 32, 152-155(2011).

[5] Sun D D, Zhao J, Wang R et al. QR code recognition based on sparse representation[J]. Journal of Computer Applications, 33, 179-181, 185(2013).

[6] Tribak H, Moughyt S, Zaz Y et al. Remote QR code recognition based on HOG and SVM classifiers. [C]∥2016 International Conference on Informatics and Computing (ICIC), October 28-29, 2016, Mataram, Indonesia. New York: IEEE, 16836016(2016).

[7] Mirjalili S, Mirjalili S M, Lewis A. Grey wolf optimizer[J]. Advances in Engineering Software, 69, 46-61(2014).

[8] Guo Z Z, Liu R, Gong C Q et al. Study on improvement of gray wolf algorithm[J]. Application Research of Computers, 34, 3603-3606, 3610(2017).

[9] Wei X, Wu Q. EEG emotion recognition based on piecewise complex multi-scale fuzzy entropy and IGWO-SVM algorithm[J]. Application Research of Computers, 36, 1-9(2019).

[10] Wu T B, Gui W H, Yang C H et al. Improved grey wolf optimization algorithm with logarithm function describing convergence factor and its application[J]. Journal of Central South University(Science and Technology), 49, 857-864(2018).

[11] Wang Z H, Luo Q, Liu S T. An SVM classifier based on chaotic gray wolf optimization algorithm[J]. Computer Engineering & Science, 40, 2040-2046(2018).

[12] Dong Y L, Jiang W. Facial expression recognition based on lifting wavelet and FLD[J]. Optical Technique, 38, 579-582(2012).

[13] Zhang L, Li Y, Liu T T et al. Feature fusion of wavelet and LBP-GD for facial expression recognition[J]. Journal of University of Electronic Science and Technology of China, 47, 654-659(2018).

[14] Quan Y Z, Gao S H, Yang M J et al. USM sharpening image detection based on local binary pattern method[J]. Laser & Optoelectronics Progress, 56, 121002(2019).

[15] Wang X Y, Zhang Y Z, Chen D Y. Face detection based on MB-LBP and eye tracking[J]. Chinese Journal of Scientific Instrument, 35, 2739-2745(2014).

[16] Cheng L Y, Mi G Y, Li S et al. Quality diagnosis of joints in laser brazing based on principal component analysis-support vector machine model[J]. Chinese Journal of Lasers, 44, 0302004(2017).

[17] Mao Z C, Chen Q. Recognition and tracking of AGV multi-branch path based on PCA-LDA and SVM[J]. Laser & Optoelectronics Progress, 55, 091005(2018).

[18] Wang D M, Lu C H, Jiang W W et al. Study on PSO-based decision-tree SVM multi-class classification method[J]. Journal of Electronic Measurement and Instrumentation, 29, 611-615(2015).