{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:28:50Z","timestamp":1772119730444,"version":"3.50.1"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"20","license":[{"start":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T00:00:00Z","timestamp":1703721600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T00:00:00Z","timestamp":1703721600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Tunisian Ministry of Higher Education and Scientific Research","award":["LR11ES48"],"award-info":[{"award-number":["LR11ES48"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-17232-6","type":"journal-article","created":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T01:01:56Z","timestamp":1703725316000},"page":"59121-59142","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Efficient human face recognition in real-life applications using the discrete wavelet transformation (HFRDWT)"],"prefix":"10.1007","volume":"83","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8425-2728","authenticated-orcid":false,"given":"Saddam M.","family":"Eragi","sequence":"first","affiliation":[]},{"given":"Fatma","family":"BenSaid","sequence":"additional","affiliation":[]},{"given":"Adel M.","family":"Alimi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,12,28]]},"reference":[{"issue":"3","key":"17232_CR1","doi-asserted-by":"publisher","first-page":"728","DOI":"10.3390\/s21030728","volume":"21","author":"I Adjabi","year":"2021","unstructured":"Adjabi I, Ouahabi A, Benzaoui A, Jacques S (2021) Multi-block color-binarized statistical images for single-sample face recognition. Sensors 21(3):728","journal-title":"Sensors"},{"issue":"3","key":"17232_CR2","doi-asserted-by":"publisher","first-page":"4825","DOI":"10.1007\/s11042-020-09850-1","volume":"80","author":"W Ali","year":"2021","unstructured":"Ali W, Tian W, Din SU, Iradukunda D, Khan AA (2021) Classical and modern face recognition approaches: a complete review. Multimed Tools Appl 80(3):4825\u20134880","journal-title":"Multimed Tools Appl"},{"issue":"7","key":"17232_CR3","doi-asserted-by":"publisher","first-page":"939","DOI":"10.3390\/sym11070939","volume":"11","author":"M Arsenovic","year":"2019","unstructured":"Arsenovic M, Karanovic M, Sladojevic S, Anderla A, Stefanovic D (2019) Solving current limitations of deep learning based approaches for plant disease detection. Symmetry 11(7):939","journal-title":"Symmetry"},{"key":"17232_CR4","doi-asserted-by":"crossref","unstructured":"Arya K, Rajput SS, Upadhyay S (2019) Noise-robust low-resolution face recognition using sift features. Computational Intelligence: Theories. Springer, Applications and Future Directions-Volume II, pp 645\u2013655","DOI":"10.1007\/978-981-13-1135-2_49"},{"issue":"6","key":"17232_CR5","first-page":"294","volume":"7","author":"W Aslam","year":"2016","unstructured":"Aslam W, Khurshid K, Khan AA (2016) Optimized image scaling using dwt and different interpolation techniques. Int J Adv Comput Sci Appl 7(6):294\u2013300","journal-title":"Int J Adv Comput Sci Appl"},{"key":"17232_CR6","unstructured":"Bal\u0131n MF, Abid A, Zou J (2019) Concrete autoencoders: Differentiable feature selection and reconstruction. In: International conference on machine learning, PMLR, pp 444\u2013453"},{"issue":"2","key":"17232_CR7","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s00371-020-01794-9","volume":"37","author":"H Ben Fredj","year":"2021","unstructured":"Ben Fredj H, Bouguezzi S, Souani C (2021) Face recognition in unconstrained environment with cnn. Vis Comput 37(2):217\u2013226","journal-title":"Vis Comput"},{"issue":"3","key":"17232_CR8","doi-asserted-by":"publisher","first-page":"7665","DOI":"10.1007\/s10586-018-2368-8","volume":"22","author":"Y Chen","year":"2019","unstructured":"Chen Y, Xu W, Zuo J, Yang K (2019) The fire recognition algorithm using dynamic feature fusion and iv-svm classifier. Cluster Comput 22(3):7665\u20137675","journal-title":"Cluster Comput"},{"key":"17232_CR9","doi-asserted-by":"crossref","unstructured":"Choudhary P, Tripathi A, Singh AK, Vashist PC (2021) Upper half face recognition using hidden markov model and singular value decomposition coefficients. In: Advances in Computational Intelligence and Communication Technology, Springer, pp 549\u2013561","DOI":"10.1007\/978-981-15-1275-9_45"},{"key":"17232_CR10","doi-asserted-by":"crossref","unstructured":"Cuculo V, D\u2019Amelio A, Grossi G, Lanzarotti R, Lin J, (2019) Robust single-sample face recognition by sparsity-driven sub-dictionary learning using deep features. Sensors 19(1):146","DOI":"10.3390\/s19010146"},{"issue":"1","key":"17232_CR11","first-page":"30","volume":"3","author":"M Dashtdar","year":"2019","unstructured":"Dashtdar M, Dashtdar M (2019) Fault location in the transmission network using a discrete wavelet transform. J Electr Comput Eng 3(1):30\u201337","journal-title":"J Electr Comput Eng"},{"key":"17232_CR12","doi-asserted-by":"crossref","unstructured":"Deng J, Guo J, Xue N, Zafeiriou S (2019) Arcface: Additive angular margin loss for deep face recognition. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 4690\u20134699","DOI":"10.1109\/CVPR.2019.00482"},{"key":"17232_CR13","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1016\/j.ijepes.2014.04.015","volume":"61","author":"S Deokar","year":"2014","unstructured":"Deokar S, Waghmare L (2014) Integrated dwt-fft approach for detection and classification of power quality disturbances. Int J Electr Power Energy Syst 61:594\u2013605","journal-title":"Int J Electr Power Energy Syst"},{"key":"17232_CR14","first-page":"150","volume-title":"2019 3rd International Conference on Imaging","author":"A Divya","year":"2019","unstructured":"Divya A, Raja K, Venugopal K (2019) Sorting pixels based face recognition using discrete wavelet transform and statistical features. 2019 3rd International Conference on Imaging. Signal Processing and Communication (ICISPC), IEEE, pp 150\u2013154"},{"key":"17232_CR15","doi-asserted-by":"crossref","unstructured":"Dumitrescu CM, Dumitrache I (2019) Combining neural networks and global gabor features in a hybrid face recognition system. In: 2019 22nd International Conference on Control Systems and Computer Science (CSCS), IEEE, pp 216\u2013222","DOI":"10.1109\/CSCS.2019.00043"},{"issue":"2","key":"17232_CR16","doi-asserted-by":"publisher","first-page":"733","DOI":"10.12928\/telkomnika.v18i2.14106","volume":"18","author":"MT Ghazal","year":"2020","unstructured":"Ghazal MT, Abdullah K (2020) Face recognition based on curvelets, invariant moments features and svm. Telkomnika 18(2):733\u2013739","journal-title":"Telkomnika"},{"key":"17232_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.102805","volume":"189","author":"G Guo","year":"2019","unstructured":"Guo G, Zhang N (2019) A survey on deep learning based face recognition. Comput Vis Image Underst 189:102805","journal-title":"Comput Vis Image Underst"},{"issue":"17","key":"17232_CR18","doi-asserted-by":"publisher","first-page":"24035","DOI":"10.1007\/s11042-019-7209-0","volume":"78","author":"Q He","year":"2019","unstructured":"He Q, He B, Zhang Y, Fang H (2019) Multimedia based fast face recognition algorithm of speed up robust features. Multimed Tools Appl 78(17):24035\u201324045","journal-title":"Multimed Tools Appl"},{"key":"17232_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.petrol.2021.109971","volume":"209","author":"E Hosseini-Fard","year":"2022","unstructured":"Hosseini-Fard E, Roshandel-Kahoo A, Soleimani-Monfared M, Khayer K, Ahmadi-Fard AR (2022) Automatic seismic image segmentation by introducing a novel strategy in histogram of oriented gradients. J Pet Sci Eng 209:109971","journal-title":"J Pet Sci Eng"},{"key":"17232_CR20","unstructured":"Huang GB, Ramesh M, Berg T, Learned-Miller E (2007) Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Tech Rep 07-49, University of Massachusetts, Amherst"},{"key":"17232_CR21","doi-asserted-by":"crossref","unstructured":"Huang Y, Wang Y, Tai Y, Liu X, Shen P, Li S, Li J, Huang F (2020) Curricularface: adaptive curriculum learning loss for deep face recognition. In: proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 5901\u20135910","DOI":"10.1109\/CVPR42600.2020.00594"},{"key":"17232_CR22","doi-asserted-by":"crossref","unstructured":"Jarraya I, BenSaid F, Ouarda W, Pal U, Alimi AM (2022) A new convolutional neural network based on a sparse convolutional layer for animal face detection. Multimed Tools Appl pp 1\u201334","DOI":"10.36227\/techrxiv.14665947.v1"},{"key":"17232_CR23","doi-asserted-by":"crossref","unstructured":"Karolin M, Meyyappan T (2022) Visual secret share creation with grayscale image converted to rgb images using zigzag scanning algorithm. In: Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences, Springer, pp 735\u2013742","DOI":"10.1007\/978-981-16-5747-4_63"},{"issue":"21","key":"17232_CR24","doi-asserted-by":"publisher","first-page":"32763","DOI":"10.1007\/s11042-021-11217-z","volume":"80","author":"N Kayhan","year":"2021","unstructured":"Kayhan N, Fekri-Ershad S (2021) Content based image retrieval based on weighted fusion of texture and color features derived from modified local binary patterns and local neighborhood difference patterns. Multimed Tools Appl 80(21):32763\u201332790","journal-title":"Multimed Tools Appl"},{"issue":"03","key":"17232_CR25","doi-asserted-by":"publisher","first-page":"1350018","DOI":"10.1142\/S1469026813500181","volume":"12","author":"H Khalajzadeh","year":"2013","unstructured":"Khalajzadeh H, Mansouri M, Teshnehlab M (2013) Hierarchical structure based convolutional neural network for face recognition. Int J Comput Intell Appl 12(03):1350018","journal-title":"Int J Comput Intell Appl"},{"key":"17232_CR26","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.jocs.2018.08.005","volume":"28","author":"SA Khan","year":"2018","unstructured":"Khan SA, Ishtiaq M, Nazir M, Shaheen M (2018) Face recognition under varying expressions and illumination using particle swarm optimization. J Comput Sci 28:94\u2013100","journal-title":"J Comput Sci"},{"key":"17232_CR27","doi-asserted-by":"crossref","unstructured":"Kherif F, Latypova A (2020) Principal component analysis. In: Machine Learning, Elsevier, pp 209\u2013225","DOI":"10.1016\/B978-0-12-815739-8.00012-2"},{"issue":"2","key":"17232_CR28","first-page":"342","volume":"20","author":"Y Kortli","year":"2020","unstructured":"Kortli Y, Jridi M, Al Falou A, Atri M (2020) Face recognition systems: A survey. Sensors 20(2):342","journal-title":"Face recognition systems: A survey. Sensors"},{"key":"17232_CR29","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. Adv Neural Inf Process Syst 25"},{"issue":"2","key":"17232_CR30","doi-asserted-by":"publisher","first-page":"927","DOI":"10.1007\/s10462-018-9650-2","volume":"52","author":"A Kumar","year":"2019","unstructured":"Kumar A, Kaur A, Kumar M (2019) Face detection techniques: a review. Artif Intell Rev 52(2):927\u2013948","journal-title":"Artif Intell Rev"},{"key":"17232_CR31","doi-asserted-by":"crossref","unstructured":"Lahaw ZB, Essaidani D, Seddik H (2018) Robust face recognition approaches using pca, ica, lda based on dwt, and svm algorithms. In: 2018 41st International Conference on Telecommunications and Signal Processing (TSP), IEEE, pp 1\u20135","DOI":"10.1109\/TSP.2018.8441452"},{"key":"17232_CR32","unstructured":"Lal PV, Srilakshmi U, Venkateswarlu D (2022) Face recognition using deep learning xception cnn method. J Theor Appl Inf Technol 100(2)"},{"key":"17232_CR33","doi-asserted-by":"crossref","unstructured":"Leng L, Zhang J, Xu J, Khan MK, Alghathbar K (2010) Dynamic weighted discrimination power analysis in dct domain for face and palmprint recognition. In: 2010 international conference on information and communication technology convergence (ICTC), IEEE, pp 467\u2013471","DOI":"10.1109\/ICTC.2010.5674791"},{"key":"17232_CR34","doi-asserted-by":"crossref","unstructured":"Leng L, Zhang J, Chen G, Khan MK, Alghathbar K (2011) Two-directional two-dimensional random projection and its variations for face and palmprint recognition. In: Computational Science and Its Applications-ICCSA 2011: International Conference, Santander, Spain, June 20-23, 2011. Proceedings, Part V 11, Springer, pp 458\u2013470","DOI":"10.1007\/978-3-642-21934-4_37"},{"issue":"1","key":"17232_CR35","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1109\/72.554196","volume":"8","author":"SH Lin","year":"1997","unstructured":"Lin SH, Kung SY, Lin LJ (1997) Face recognition\/detection by probabilistic decision-based neural network. IEEE Trans Neural Netw 8(1):114\u2013132","journal-title":"IEEE Trans Neural Netw"},{"issue":"2","key":"17232_CR36","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1007\/s11704-016-6076-3","volume":"11","author":"X Liu","year":"2017","unstructured":"Liu X, Kan M, Wu W, Shan S, Chen X (2017) Viplfacenet: an open source deep face recognition sdk. Front Comput Sci 11(2):208\u2013218","journal-title":"Front Comput Sci"},{"key":"17232_CR37","doi-asserted-by":"crossref","unstructured":"Lucey P, Cohn JF, Kanade T, Saragih J, Ambadar Z, Matthews I (2010) The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression. In: 2010 ieee computer society conference on computer vision and pattern recognition-workshops, IEEE, pp 94\u2013101","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"17232_CR38","doi-asserted-by":"crossref","unstructured":"Lyons M, Akamatsu S, Kamachi M, Gyoba J (1998) Coding facial expressions with gabor wavelets. In: Proceedings Third IEEE international conference on automatic face and gesture recognition, IEEE, pp 200\u2013205","DOI":"10.1109\/AFGR.1998.670949"},{"key":"17232_CR39","doi-asserted-by":"crossref","unstructured":"Lyons MJ (2021) \u201cexcavating ai\u201d re-excavated: Debunking a fallacious account of the jaffe dataset. arXiv preprint arXiv:2107.13998","DOI":"10.31234\/osf.io\/bvf2s"},{"key":"17232_CR40","doi-asserted-by":"crossref","unstructured":"Mady H, Hilles SM (2018) Face recognition and detection using random forest and combination of lbp and hog features. In: 2018 international conference on smart computing and electronic enterprise (ICSCEE), IEEE, pp 1\u20137","DOI":"10.1109\/ICSCEE.2018.8538377"},{"key":"17232_CR41","doi-asserted-by":"crossref","unstructured":"Masi I, Wu Y, Hassner T, Natarajan P (2018) Deep face recognition: A survey. In: 2018 31st SIBGRAPI conference on graphics, patterns and images (SIBGRAPI), IEEE, pp 471\u2013478","DOI":"10.1109\/SIBGRAPI.2018.00067"},{"key":"17232_CR42","doi-asserted-by":"crossref","unstructured":"Melaugh R, Siddique N, Coleman S, Yogarajah P (2019) Facial expression recognition on partial facial sections. In: 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA), IEEE, pp 193\u2013197","DOI":"10.1109\/ISPA.2019.8868630"},{"key":"17232_CR43","unstructured":"Mulyono IUW, Susanto A, Rachmawanto EH, Fahmi A, et\u00a0al. (2019) Performance analysis of face recognition using eigenface approach. In: 2019 International Seminar on Application for Technology of Information and Communication (iSemantic), IEEE, pp 1\u20135"},{"issue":"7","key":"17232_CR44","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1007\/s11760-021-01895-5","volume":"15","author":"S Nath","year":"2021","unstructured":"Nath S, Naskar R (2021) Automated image splicing detection using deep cnn-learned features and ann-based classifier. Signal, Image and Video Processing 15(7):1601\u20131608","journal-title":"Signal, Image and Video Processing"},{"issue":"2","key":"17232_CR45","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1080\/01973533.2020.1843462","volume":"43","author":"TA Palma","year":"2021","unstructured":"Palma TA, Garcia-Marques L (2021) Does repetition always make perfect? differential effects of repetition on learning of own-race and other-race faces. Basic Appl Soc Psychol 43(2):90\u2013109","journal-title":"Basic Appl Soc Psychol"},{"issue":"10","key":"17232_CR46","doi-asserted-by":"publisher","first-page":"1088","DOI":"10.3390\/electronics8101088","volume":"8","author":"Z Pei","year":"2019","unstructured":"Pei Z, Xu H, Zhang Y, Guo M, Yang YH (2019) Face recognition via deep learning using data augmentation based on orthogonal experiments. Electronics 8(10):1088","journal-title":"Electronics"},{"issue":"9","key":"17232_CR47","doi-asserted-by":"publisher","first-page":"4553","DOI":"10.1109\/TIP.2019.2912360","volume":"28","author":"C Peng","year":"2019","unstructured":"Peng C, Wang N, Li J, Gao X (2019) Re-ranking high-dimensional deep local representation for nir-vis face recognition. IEEE Transactions on Image Processing 28(9):4553\u20134565","journal-title":"IEEE Transactions on Image Processing"},{"key":"17232_CR48","doi-asserted-by":"crossref","unstructured":"Qusay AK, Motlak H, Al-Libawy H (2020) A new rule to constrain convolution neural network architecture in face recognition system. In: Journal of Physics: Conference Series, IOP Publishing, vol 1530, p 012125","DOI":"10.1088\/1742-6596\/1530\/1\/012125"},{"issue":"1","key":"17232_CR49","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/MSP.2017.2764116","volume":"35","author":"R Ranjan","year":"2018","unstructured":"Ranjan R, Sankaranarayanan S, Bansal A, Bodla N, Chen JC, Patel VM, Castillo CD, Chellappa R (2018) Deep learning for understanding faces: Machines may be just as good, or better, than humans. IEEE Signal Process Mag 35(1):66\u201383","journal-title":"IEEE Signal Process Mag"},{"issue":"1","key":"17232_CR50","first-page":"47","volume":"13","author":"K Raveendra","year":"2021","unstructured":"Raveendra K, Ravi J (2021) Performance evaluation of face recognition system by concatenation of spatial and transformation domain features. Int J Comput Netw Inf Secur 13(1):47\u201360","journal-title":"Int J Comput Netw Inf Secur"},{"key":"17232_CR51","unstructured":"Samaria FS, Harter AC (1994) Parameterisation of a stochastic model for human face identification. In: Proceedings of 1994 IEEE workshop on applications of computer vision, IEEE, pp 138\u2013142"},{"issue":"6","key":"17232_CR52","doi-asserted-by":"publisher","first-page":"4476","DOI":"10.1007\/s11227-018-2408-4","volume":"76","author":"R Senthilkumar","year":"2020","unstructured":"Senthilkumar R, Gnanamurthy RK (2020) A proposed method for the improvement in biometric facial image recognition using document-based classification. J Supercomput 76(6):4476\u20134494","journal-title":"J Supercomput"},{"key":"17232_CR53","doi-asserted-by":"publisher","first-page":"35777","DOI":"10.1109\/ACCESS.2020.2975312","volume":"8","author":"J Sun","year":"2020","unstructured":"Sun J, Lv Y, Tang C, Sima H, Wu X (2020) Face recognition based on local gradient number pattern and fuzzy convex-concave partition. IEEE Access 8:35777\u201335791","journal-title":"IEEE Access"},{"key":"17232_CR54","doi-asserted-by":"crossref","unstructured":"Sun Y, Wang X, Tang X (2013) Hybrid deep learning for face verification. In: Proceedings of the IEEE international conference on computer vision, pp 1489\u20131496","DOI":"10.1109\/ICCV.2013.188"},{"key":"17232_CR55","unstructured":"Sun Y, Liang D, Wang X, Tang X (2015) Deepid3: Face recognition with very deep neural networks. arXiv preprint arXiv:1502.00873"},{"key":"17232_CR56","doi-asserted-by":"crossref","unstructured":"Tenllado C, Garc\u00eda C, Prieto M, Pi\u00f1uel L, Tirado F (2004) Exploiting multilevel parallelism within modern microprocessors: Dwt as a case study. In: International Conference on High Performance Computing for Computational Science, Springer, pp 556\u2013568","DOI":"10.1007\/11403937_42"},{"key":"17232_CR57","doi-asserted-by":"crossref","unstructured":"Viola P, Jones M (2001) Rapid object detection using a boosted cascade of simple features. In: Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition. CVPR 2001, Ieee, vol\u00a01, pp I\u2013I","DOI":"10.1109\/CVPR.2001.990517"},{"key":"17232_CR58","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.neucom.2020.10.081","volume":"429","author":"M Wang","year":"2021","unstructured":"Wang M, Deng W (2021) Deep face recognition: A survey. Neurocomputing 429:215\u2013244","journal-title":"Neurocomputing"},{"key":"17232_CR59","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.patrec.2018.11.001","volume":"127","author":"R Wang","year":"2019","unstructured":"Wang R, Shi Y, Cao W (2019) Ga-surf: A new speeded-up robust feature extraction algorithm for multispectral images based on geometric algebra. Pattern Recognit Lett 127:11\u201317","journal-title":"Pattern Recognit Lett"},{"key":"17232_CR60","doi-asserted-by":"crossref","unstructured":"Wood E, Baltru\u0161aitis T, Hewitt C, Dziadzio S, Cashman TJ, Shotton J (2021) Fake it till you make it: Face analysis in the wild using synthetic data alone. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 3681\u20133691","DOI":"10.1109\/ICCV48922.2021.00366"},{"issue":"3","key":"17232_CR61","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1109\/TCYB.2018.2876591","volume":"50","author":"F Wu","year":"2018","unstructured":"Wu F, Jing XY, Dong X, Hu R, Yue D, Wang L, Ji YM, Wang R, Chen G (2018) Intraspectrum discrimination and interspectrum correlation analysis deep network for multispectral face recognition. IEEE transactions on cybernetics 50(3):1009\u20131022","journal-title":"IEEE transactions on cybernetics"},{"issue":"1","key":"17232_CR62","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1109\/TNNLS.2018.2836933","volume":"30","author":"B Xu","year":"2018","unstructured":"Xu B, Liu Q, Huang T (2018) A discrete-time projection neural network for sparse signal reconstruction with application to face recognition. IEEE Trans. Neural Netw Learn Syst 30(1):151\u2013162","journal-title":"IEEE Trans. Neural Netw Learn Syst"},{"issue":"11","key":"17232_CR63","doi-asserted-by":"publisher","first-page":"651","DOI":"10.3390\/sym10110651","volume":"10","author":"MA Yaman","year":"2018","unstructured":"Yaman MA, Subasi A, Rattay F (2018) Comparison of random subspace and voting ensemble machine learning methods for face recognition. Symmetry 10(11):651","journal-title":"Symmetry"},{"key":"17232_CR64","doi-asserted-by":"crossref","unstructured":"Yee SY, Rassem TH, Mohammed MF, Awang S (2020) Face recognition using laplacian completed local ternary pattern (lapcltp). In: Advances in electronics engineering, Springer, pp 315\u2013327","DOI":"10.1007\/978-981-15-1289-6_29"},{"key":"17232_CR65","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.patrec.2018.05.024","volume":"119","author":"D Zeng","year":"2019","unstructured":"Zeng D, Zhao F, Ge S, Shen W (2019) Fast cascade face detection with pyramid network. Pattern Recognit Lett 119:180\u2013186","journal-title":"Pattern Recognit Lett"},{"issue":"5","key":"17232_CR66","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1049\/iet-ipr.2017.1085","volume":"12","author":"Y Zhang","year":"2018","unstructured":"Zhang Y, Shang K, Wang J, Li N, Zhang MM (2018) Patch strategy for deep face recognition. IET Image Processing 12(5):819\u2013825","journal-title":"IET Image Processing"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-17232-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-17232-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-17232-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T18:18:00Z","timestamp":1730917080000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-17232-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,28]]},"references-count":66,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["17232"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-17232-6","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.21388551.v1","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.21388551.v2","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.21388551","asserted-by":"object"}]},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,28]]},"assertion":[{"value":"26 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 August 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 September 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 December 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interest"}}]}}