{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T06:51:59Z","timestamp":1726037519249},"publisher-location":"Singapore","reference-count":33,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811399169"},{"type":"electronic","value":"9789811399176"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-981-13-9917-6_17","type":"book-chapter","created":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T09:05:04Z","timestamp":1563527104000},"page":"172-183","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Fusion of Global and Local Gaussian-Hermite Moments for Face Recognition"],"prefix":"10.1007","author":[{"given":"Guojie","family":"Song","sequence":"first","affiliation":[]},{"given":"Dan","family":"He","sequence":"additional","affiliation":[]},{"given":"Puchun","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jidong","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Li","family":"Luo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,20]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Otti, C.: Comparison of biometric identification methods. In: International Symposium on Applied Computational Intelligence and Informatics (2016)","DOI":"10.1109\/SACI.2016.7507397"},{"issue":"1","key":"17_CR2","first-page":"173","volume":"1","author":"I Buciu","year":"2008","unstructured":"Buciu, I.: Overview of face recognition techniques. J. Electr. Electron. Eng. 1(1), 173\u2013176 (2008)","journal-title":"J. Electr. Electron. Eng."},{"key":"17_CR3","unstructured":"Singh, R., Om, H.: An overview of face recognition in an unconstrained environment. In: IEEE Second International Conference on Image Information Processing, pp. 672\u2013677 (2010)"},{"issue":"1","key":"17_CR4","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1162\/jocn.1991.3.1.71","volume":"3","author":"M Turk","year":"1991","unstructured":"Turk, M., Pentlad, A.: Eigenfaces for recognition. J. Congnitive Neurosci. 3(1), 71\u201386 (1991)","journal-title":"J. Congnitive Neurosci."},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Hasan, M., Faruqe, M.: Face recognition using PCA and SVM. In: International Conference on Anti-Counterfeiting, pp. 97\u2013101 (2009)","DOI":"10.1109\/ICASID.2009.5276938"},{"issue":"3","key":"17_CR6","first-page":"273","volume":"20","author":"V Vapnik","year":"1995","unstructured":"Vapnik, V., Cortes, C.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"17_CR7","doi-asserted-by":"publisher","first-page":"1869","DOI":"10.1007\/s11432-016-9020-4","volume":"60","author":"L Ma","year":"2017","unstructured":"Ma, L., Song, D., Liao, L., Wang, J.: PSVM: a preference-enhanced SVM model using preference data for classification. Sci. China Inf. Sci. 60, 1869\u20131919 (2017). \n                  https:\/\/doi.org\/10.1007\/s11432-016-9020-4","journal-title":"Sci. China Inf. Sci."},{"issue":"7","key":"17_CR8","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1109\/34.598228","volume":"19","author":"PN Belhumeur","year":"2002","unstructured":"Belhumeur, P.N., Kriegman, D.J.: Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 711\u2013720 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"17_CR9","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1109\/TSMCB.2007.908870","volume":"38","author":"H Zhao","year":"2008","unstructured":"Zhao, H., Yuen, P.C.: Incremental linear discriminant analysis for face recognition. Trans. Syst. Man Cybern. Part B. 38(1), 210\u2013221 (2008)","journal-title":"Trans. Syst. Man Cybern. Part B."},{"key":"17_CR10","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.patrec.2014.11.016","volume":"54","author":"X Wu","year":"2015","unstructured":"Wu, X., Mao, X., Chen, L., Xue, Y., Rovetta, A.: Kernel optimization using nonparametric Fisher criterion in the subspace. Pattern Recognit. Lett. 54, 43\u201349 (2015)","journal-title":"Pattern Recognit. Lett."},{"issue":"3","key":"17_CR11","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s11263-014-0722-8","volume":"109","author":"M Yang","year":"2014","unstructured":"Yang, M., Zhang, L., Feng, X., Zhang, D.: Sparse representation based fisher discrimination dictionary learning for image classification. Int. J. Comput. Vis. 109(3), 209\u2013232 (2014)","journal-title":"Int. J. Comput. Vis."},{"issue":"11","key":"17_CR12","first-page":"3677","volume":"6","author":"G Lei","year":"2010","unstructured":"Lei, G., Zhou, J., Li, X., Gong, X.: Improved canonical correlation analysis and its applications in image recognition. J. Comput. Inf. Syst. 6(11), 3677\u20133685 (2010)","journal-title":"J. Comput. Inf. Syst."},{"issue":"4","key":"17_CR13","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1002\/wics.1262","volume":"5","author":"GH Givens","year":"2013","unstructured":"Givens, G.H., Beveridge, J.R., Lui, Y.M., Bolme, D.S., Draper, B.A., Phillips, P.J.: Biometric face recognition: from classical statistics to future challenges. Wiley Interdiscip. Rev.: Comput. Stat. 5(4), 288\u2013308 (2013)","journal-title":"Wiley Interdiscip. Rev.: Comput. Stat."},{"issue":"12","key":"17_CR14","doi-asserted-by":"publisher","first-page":"1977","DOI":"10.1109\/TPAMI.2005.242","volume":"27","author":"J Kim","year":"2005","unstructured":"Kim, J., Choi, J., Yi, J., Turk, M.: Effective representation using ICA for face recognition robust to local distortion and partial occlusion. IEEE Trans. Pattern Anal. Mach. Intell. 27(12), 1977\u20131981 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"17_CR15","doi-asserted-by":"publisher","first-page":"2037","DOI":"10.1109\/TPAMI.2006.244","volume":"28","author":"T Ahonen","year":"2006","unstructured":"Ahonen, T., Hadid, A., Pietikainen, M.: Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 2037\u20132041 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"17_CR16","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1109\/34.541406","volume":"18","author":"TS Lee","year":"1996","unstructured":"Lee, T.S.: Image representation using 2D gabor wavelets. IEEE Trans. Pattern Anal. Mach. Intell. 18(10), 959\u2013971 (1996)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"17_CR17","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/s10044-006-0033-y","volume":"9","author":"L Shen","year":"2006","unstructured":"Shen, L., Bai, L.: A review on Gabor wavelets for face recognition. Pattern Anal. Appl. 9(3), 273\u2013292 (2006)","journal-title":"Pattern Anal. Appl."},{"key":"17_CR18","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.patcog.2015.11.020","volume":"53","author":"F Kamaruzaman","year":"2016","unstructured":"Kamaruzaman, F., Shafie, A.: Recognizing faces with normalized local Gabor features and spiking neuron patterns. Pattern Recognit. 53, 102\u2013115 (2016)","journal-title":"Pattern Recognit."},{"issue":"4","key":"17_CR19","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/s12046-012-0090-4","volume":"37","author":"JS Rani","year":"2012","unstructured":"Rani, J.S., Devaraj, D.: Face recognition using Krawtchouk moment. Shadhana 37(4), 441\u2013460 (2012)","journal-title":"Shadhana"},{"key":"17_CR20","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.patcog.2016.01.003","volume":"54","author":"SMM Rahman","year":"2016","unstructured":"Rahman, S.M.M., Howlader, T., Hatzinakos, D.: On the selection of 2D Krawtchouk moments for face recognition. Pattern Recognit. 54, 83\u201393 (2016)","journal-title":"Pattern Recognit."},{"issue":"10","key":"17_CR21","doi-asserted-by":"publisher","first-page":"2290","DOI":"10.1016\/j.sigpro.2011.04.012","volume":"91","author":"B Yang","year":"2011","unstructured":"Yang, B., Dai, M.: Image analysis by Gaussian-Hermite moments. Sig. Process. 91(10), 2290\u20132303 (2011)","journal-title":"Sig. Process."},{"key":"17_CR22","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.sigpro.2016.09.013","volume":"132","author":"B Yang","year":"2016","unstructured":"Yang, B., Kostkov\u00e1, J., Flusser, J., Suk, T.: Scale invariants from Gaussian-Hermite moments. Signal Process. 132, 77\u201384 (2016)","journal-title":"Signal Process."},{"issue":"9","key":"17_CR23","doi-asserted-by":"publisher","first-page":"1283","DOI":"10.1016\/j.patrec.2011.03.012","volume":"32","author":"B Yang","year":"2011","unstructured":"Yang, B., Li, G., Zhang, H., Dai, M.: Rotation and translation invariants of Gaussian-Hermite moments. Pattern Recognit. Lett. 32(9), 1283\u20131298 (2011)","journal-title":"Pattern Recognit. Lett."},{"key":"17_CR24","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.patcog.2016.03.006","volume":"56","author":"SM Imran","year":"2016","unstructured":"Imran, S.M., Rahman, S.M.M., Hatzinakos, D.: Differential components of discriminative 2D Gaussian-Hermite moments for recognition of facial expressions. Pattern Recognit. 56, 100\u2013115 (2016)","journal-title":"Pattern Recognit."},{"issue":"2","key":"17_CR25","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/MSP.2007.914731","volume":"25","author":"EJ Candes","year":"2008","unstructured":"Candes, E.J., Wakin, M.B.: An introduction to compressive sampling. IEEE Sig. Process. Mag. 25(2), 21\u201330 (2008)","journal-title":"IEEE Sig. Process. Mag."},{"key":"17_CR26","doi-asserted-by":"publisher","first-page":"6735","DOI":"10.1109\/TIT.2017.2726549","volume":"63","author":"FE Rezagah","year":"2016","unstructured":"Rezagah, F.E., Jalali, S., Erkip, E., Poor, H.V.: Compression-based compressed sensing. IEEE Trans. Inf. Theory 63, 6735\u20136752 (2016)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"17_CR27","doi-asserted-by":"crossref","unstructured":"Yang, A.Y., Sastry, S.S, Ganesh, A., Yi, M.: Fast \u2113 1-minimization algorithms and an application in robust face recognition: a review. IEEE International Conference on Image Processing. IEEE (2010)","DOI":"10.1109\/ICIP.2010.5651522"},{"issue":"2","key":"17_CR28","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J Wright","year":"2009","unstructured":"Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Yi, M.: Robust face recognition via sparse representation. IEEE Trans. Anal. Mach. Intell. 31(2), 210\u2013227 (2009)","journal-title":"IEEE Trans. Anal. Mach. Intell."},{"key":"17_CR29","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1007\/978-3-642-15567-3_33","volume-title":"Computer Vision \u2013 ECCV 2010","author":"Meng Yang","year":"2010","unstructured":"Yang, M., Zhang, L.: Gabor feature based sparse representation for face recognition with Gabor occlusion dictionary. In: European Conference on Computer Vision, pp. 448\u2013461 (2010)"},{"key":"17_CR30","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1007\/s00138-015-0694-x","volume":"26","author":"A Adamo","year":"2005","unstructured":"Adamo, A., Grossi, G., Lanzarotti, R., Lin, J.: Robust face recognition using sparse representation in LDA space. Mach. Vis. Appl. 26, 837\u2013847 (2005)","journal-title":"Mach. Vis. Appl."},{"key":"17_CR31","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.neuroimage.2016.07.004","volume":"141","author":"E Meaux","year":"2016","unstructured":"Meaux, E., Vuilleumier, P.: Facing mixed emotions: analytic and holistic perception of facial emotion expressions engages separate brain networks. Neuroimage 141, 154\u2013173 (2016)","journal-title":"Neuroimage"},{"key":"17_CR32","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1007\/978-3-662-47791-5_4","volume-title":"Advances in Image and Graphics Technologies","author":"Z Xie","year":"2015","unstructured":"Xie, Z.: Infrared face recognition based on adaptive dominant pattern of local binary pattern. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds.) IGTA 2015. CCIS, vol. 525, pp. 28\u201336. Springer, Heidelberg (2015). \n                  https:\/\/doi.org\/10.1007\/978-3-662-47791-5_4"},{"issue":"6","key":"17_CR33","doi-asserted-by":"publisher","first-page":"1408","DOI":"10.1016\/j.sigpro.2012.09.011","volume":"93","author":"H Cheng","year":"2013","unstructured":"Cheng, H., Liu, Z., Yang, L., Chen, X.: Sparse representation and learning in visual recognition: theory and applications. Sig. Process. 93(6), 1408\u20131425 (2013)","journal-title":"Sig. Process."}],"container-title":["Communications in Computer and Information Science","Image and Graphics Technologies and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-9917-6_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T09:11:54Z","timestamp":1563527514000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-13-9917-6_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811399169","9789811399176"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-9917-6_17","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"20 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IGTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Image and Graphics Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"igta0","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.bsig.org.cn\/list\/IGTA","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"152","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}