{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:21:16Z","timestamp":1760955676190,"version":"build-2065373602"},"reference-count":48,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2016,10,25]],"date-time":"2016-10-25T00:00:00Z","timestamp":1477353600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51278058","61302150"],"award-info":[{"award-number":["51278058","61302150"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"111 Project on Information of Vehicle-Infrastructure Sensing and ITS","award":["B14043"],"award-info":[{"award-number":["B14043"]}]},{"name":"Fundamental Research Funds for the Central Universities of Ministry of Education of China","award":["310814247004","310824130251","310824153103"],"award-info":[{"award-number":["310814247004","310824130251","310824153103"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Texture feature description is a remarkable challenge in the fields of computer vision and pattern recognition. Since the traditional texture feature description method, the local binary pattern (LBP), is unable to acquire more detailed direction information and always sensitive to noise, we propose a novel method based on generalized Gabor direction pattern (GGDP) and weighted discrepancy measurement model (WDMM) to overcome those defects. Firstly, a novel patch-structure direction pattern (PDP) is proposed, which can extract rich feature information and be insensitive to noise. Then, motivated by searching for a description method that can explore richer and more discriminant texture features and reducing the local Gabor feature vector\u2019s high dimension problem, we extend PDP to form the GGDP method with multi-channel Gabor space. Furthermore, WDMM, which can effectively measure the feature distance between two images, is presented for the classification and recognition of image samples. Simulated experiments on olivetti research laboratory (ORL), Carnegie Mellon University pose, illumination, and expression (CMUPIE) and Yale B face databases under different illumination or facial expression conditions indicate that the proposed method outperforms other existing classical methods.<\/jats:p>","DOI":"10.3390\/sym8110109","type":"journal-article","created":{"date-parts":[[2016,10,25]],"date-time":"2016-10-25T10:28:49Z","timestamp":1477391329000},"page":"109","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Novel Texture Feature Description Method Based on the Generalized Gabor Direction Pattern and Weighted Discrepancy Measurement Model"],"prefix":"10.3390","volume":"8","author":[{"given":"Ting","family":"Chen","sequence":"first","affiliation":[{"name":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China"},{"name":"School of Electrical and Information Engineering, the University of Sydney, Sydney 2006, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangmo","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Electronic and Control Engineering, Chang\u2019an University, Xi\u2019an 710064, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Licheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiarui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,10,25]]},"reference":[{"key":"ref_1","unstructured":"Turk, M.A., and Pentland, A.P. (1991, January 3\u20136). Face recognition using eigenfaces. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Maui, HI, USA."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1109\/TIFS.2007.910239","article-title":"Horizontal and vertical 2DPCA-based discriminant analysis for face verification on a large-scale database","volume":"2","author":"Yang","year":"2007","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.1016\/j.patrec.2007.01.015","article-title":"Volume measure in 2DPCA-based face recognition","volume":"28","author":"Meng","year":"2007","journal-title":"Pattern Recognit. Lett."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s11063-009-9117-1","article-title":"A new incremental PCA algorithm with application to visual learning and recognition","volume":"30","author":"Huang","year":"2009","journal-title":"Neural Process. Lett."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1016\/j.neucom.2004.10.113","article-title":"Adaptively weighted sub-pattern PCA for face recognition","volume":"64","author":"Tan","year":"2005","journal-title":"Neurocomputing"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1016\/j.patcog.2008.09.024","article-title":"A novel hybrid approach based on sub-pattern technique and whitened PCA for face recognition","volume":"42","author":"Hsieh","year":"2009","journal-title":"Pattern Recognit."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1109\/34.598228","article-title":"Eigenfaces vs. fisherfaces: Recognition using class specific linear projection","volume":"19","author":"Belhumeur","year":"1997","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1816","DOI":"10.1016\/j.patcog.2008.11.011","article-title":"Biometric dispersion matcher versus LDA","volume":"42","year":"2009","journal-title":"Pattern Recognit."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/TPAMI.2011.103","article-title":"LDAHash: Improved matching with smaller descriptors","volume":"34","author":"Strecha","year":"2012","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1016\/j.patrec.2013.01.016","article-title":"Generalization of linear discriminant analysis using Lp-norm","volume":"34","author":"Oh","year":"2013","journal-title":"Pattern Recognit. Lett."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.neucom.2013.01.021","article-title":"Two-dimensional color uncorrelated discriminant analysis for face recognition","volume":"113","author":"Zhao","year":"2013","journal-title":"Neurocomputing"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2486","DOI":"10.1162\/NECO_a_00485","article-title":"Spherical mesh adaptive direct search for separating quasi-uncorrelated sources by range-based independent component analysis","volume":"25","author":"Selvan","year":"2013","journal-title":"Neural Comput."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1109\/TIFS.2011.2118207","article-title":"Depth estimation of face images based on the constrained ICA model","volume":"6","author":"Sun","year":"2011","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Fernandes, S.L., and Bala, G.J. (2013, January 7\u20138). A comparative study on ICA and LPP based Face Recognition under varying illuminations and facial expressions. Proceedings of the 2013 International Conference on Signal Processing Image Processing & Pattern Recognition, Coimbatore, India.","DOI":"10.1109\/ICSIPR.2013.6497972"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1049\/el.2012.0834","article-title":"Multi-scale ICA texture pattern for gender recognition","volume":"48","author":"Wu","year":"2012","journal-title":"Electron. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1049\/iet-ipr.2010.0367","article-title":"Human body segmentation based on independent component analysis with reference at two-scale superpixel","volume":"6","author":"Li","year":"2012","journal-title":"IET Image Process."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1006\/mssp.2002.1510","article-title":"Optimal autoregressive modeling of a measured noisy deterministic signal using singular-value decomposition","volume":"17","author":"Shin","year":"2003","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1109\/4233.966104","article-title":"ECG data compression using truncated singular value decomposition","volume":"5","author":"Wei","year":"2001","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.elspec.2005.02.003","article-title":"Noise reduction in X-ray photoelectron spectromicroscopy by a singular value decomposition sorting procedure","volume":"148","author":"Walton","year":"2005","journal-title":"J. Electron Spectrosc. Relat. Phenom."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1109\/83.982822","article-title":"Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance","volume":"11","author":"Do","year":"2002","journal-title":"IEEE Trans. Image Process."},{"key":"ref_21","first-page":"930","article-title":"An efficient texture classification algorithm using Gabor wavelet","volume":"Volume 1","author":"Ahmadian","year":"2003","journal-title":"Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Ye, F., Shi, Z., and Shi, Z. (2009, January 8\u201311). A comparative study of PCA, LDA and Kernel LDA for image classification. Proceedings of the International Symposium on Ubiquitous Virtual Reality, Gwangju, Korea.","DOI":"10.1109\/ISUVR.2009.26"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Ojala, T., Pietik\u00e4inen, M., and M\u00e4enp\u00e4\u00e4, T. (2001, January 11\u201314). A generalized Local Binary Pattern operator for multiresolution gray scale and rotation invariant texture classification. Proceedings of the International Conference on Advances in Pattern Recognition, Rio de Janeiro, Brazil.","DOI":"10.1007\/3-540-44732-6_41"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","article-title":"Multiresolution gray-scale and rotation invariant texture classification with local binary patterns","volume":"24","author":"Ojala","year":"2002","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1109\/TIP.2010.2042645","article-title":"Enhanced local texture feature sets for face recognition under difficult lighting conditions","volume":"19","author":"Tan","year":"2010","journal-title":"IEEE Trans. Image Process."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.neucom.2012.05.036","article-title":"Local binary pattern (LBP) and local phase quantization (LBQ) based on Gabor filter for face representation","volume":"116","author":"Zhou","year":"2013","journal-title":"Neurocomputing"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1109\/TIP.2009.2035882","article-title":"Local derivative pattern versus local binary pattern: Face recognition with high-order local pattern descriptor","volume":"19","author":"Zhang","year":"2010","journal-title":"IEEE Trans. Image Process."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1109\/TPAMI.2013.150","article-title":"Local difference binary for ultrafast and distinctive feature description","volume":"36","author":"Yang","year":"2014","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.patcog.2015.08.025","article-title":"Local line directional pattern for palmprint recognition","volume":"50","author":"Luo","year":"2016","journal-title":"Pattern Recognit."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2502","DOI":"10.1016\/j.patcog.2011.03.029","article-title":"PLBP: An effective local binary patterns texture descriptor with pyramid representation","volume":"44","author":"Qian","year":"2011","journal-title":"Pattern Recognit."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2874","DOI":"10.1109\/TIP.2012.2188809","article-title":"Local tetra patterns: A new feature descriptor for content-based image retrieval","volume":"21","author":"Murala","year":"2012","journal-title":"IEEE Trans. Image Process."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1109\/TIP.2009.2015682","article-title":"Dominant local binary patterns for texture classification","volume":"18","author":"Liao","year":"2009","journal-title":"IEEE Trans. Image Process."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Calonder, M., Lepetit, V., Strecha, C., and Fua, P. (2010, January 5\u201311). Brief: Binary robust independent elementary features. Proceedings of the European Conference on Computer Vision-ECCV, Heraklion, Greece.","DOI":"10.1007\/978-3-642-15561-1_56"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.dsp.2016.02.002","article-title":"Local tri-directional patterns: A new texture feature descriptor for image retrieval","volume":"51","author":"Verma","year":"2016","journal-title":"Digit. Signal Process."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.ins.2016.05.017","article-title":"Local convex-and-concave pattern: An effective texture descriptor","volume":"363","author":"Chen","year":"2016","journal-title":"Inf. Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1734","DOI":"10.3390\/sym7041734","article-title":"Fault detection based on multi-scale local binary patterns operator and improved teaching-learning-based optimization algorithm","volume":"7","author":"Zhang","year":"2015","journal-title":"Symmetry"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Mukundan, R. (2014). Local Tchebichef Moments for Texture Analysis, Science Gate Publishing. Moments and Moment Invariants\u2014Theory and Applications.","DOI":"10.15579\/gcsr.vol1.ch6"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1016\/j.neucom.2012.06.031","article-title":"Moment-based local binary patterns: A novel descriptor for invariant pattern recognition applications","volume":"99","author":"Papakostas","year":"2013","journal-title":"Neurocomputing"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Nanni, L., Brahnam, S., Ghidoni, S., Emanuele, M., and Tonya, B. (2013). Different approaches for extracting information from the co-occurrence matrix. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0083554"},{"key":"ref_40","first-page":"192","article-title":"Region based approaches and descriptors extracted from the cooccurrence matrix","volume":"3","author":"Nanni","year":"2014","journal-title":"Int. J. Latest Res. Sci. Technol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.imavis.2009.06.013","article-title":"Recognizing faces using Adaptively Weighted Sub-Gabor Array from a single sample image per enrolled subject","volume":"28","author":"Kanan","year":"2010","journal-title":"Image Vis. Comput."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1016\/j.patcog.2013.09.003","article-title":"Fusion of local normalization and Gabor entropy weighted features for face identification","volume":"47","author":"Cament","year":"2014","journal-title":"Pattern Recognit."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Gao, T., and He, M. (2008, January 7\u20139). A novel face description by local multi-channel Gabor histogram sequence binary pattern. Proceedings of the International Conference on Audio, Language and Image Processing, Shanghai, China.","DOI":"10.1109\/ICALIP.2008.4590128"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1109\/TIP.2010.2041397","article-title":"Fusing local patterns of Gabor magnitude and phase for face recognition","volume":"19","author":"Xie","year":"2010","journal-title":"IEEE Trans. Image Process."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1557","DOI":"10.1016\/j.sigpro.2012.09.012","article-title":"Efficient face recognition using wavelet-based generalized neural network","volume":"93","author":"Sharma","year":"2013","journal-title":"Signal Process."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.patrec.2013.09.023","article-title":"Gabor wavelets combined with volumetric fractal dimension applied to texture analysis","volume":"36","author":"Florindo","year":"2014","journal-title":"Pattern Recognit. Lett."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.sigpro.2013.06.029","article-title":"Face and marker detection using Gabor frames on GPUs","volume":"96","year":"2014","journal-title":"Signal Process."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1016\/j.neucom.2012.05.005","article-title":"Gabor face recognition by multi-channel classifier fusion of supervised kernel manifold learning","volume":"97","author":"Zhao","year":"2012","journal-title":"Neurocomputing"}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/8\/11\/109\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:33:53Z","timestamp":1760211233000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/8\/11\/109"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,25]]},"references-count":48,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2016,11]]}},"alternative-id":["sym8110109"],"URL":"https:\/\/doi.org\/10.3390\/sym8110109","relation":{},"ISSN":["2073-8994"],"issn-type":[{"type":"electronic","value":"2073-8994"}],"subject":[],"published":{"date-parts":[[2016,10,25]]}}}