{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:41:58Z","timestamp":1742913718679,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030711863"},{"type":"electronic","value":"9783030711870"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-71187-0_82","type":"book-chapter","created":{"date-parts":[[2021,6,2]],"date-time":"2021-06-02T05:04:54Z","timestamp":1622610294000},"page":"891-900","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Template Matching and Deep CNN-SVM for Online Characters Recognition"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7616-8374","authenticated-orcid":false,"given":"Rabiaa","family":"Zitouni","sequence":"first","affiliation":[]},{"given":"Hala","family":"Bezine","sequence":"additional","affiliation":[]},{"given":"Najet","family":"Arous","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"82_CR1","unstructured":"Akouaydi, H., Njah, S., Ouarda, W., Samet, A., Dhieb, T., Zaied, M., Alimi, A.M.: Neural architecture based on fuzzy perceptual representation for online multilingual handwriting recognition. arXiv preprint arXiv:1908.00634 (2019)"},{"key":"82_CR2","doi-asserted-by":"crossref","unstructured":"Akouaydi, H., Njah, S., Ouarda, W., Samet, A., Zaied, M., Alimi, A.M.: Convolutional neural networks for online arabic characters recognition with beta-elliptic knowledge domain. In: International Conference on Document Analysis and Recognition, pp. 41\u201346 (2019)","DOI":"10.1109\/ICDARW.2019.50114"},{"issue":"3","key":"82_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3060620","volume":"50","author":"BM Al-Helali","year":"2017","unstructured":"Al-Helali, B.M., Mahmoud, S.A.: Arabic online handwriting recognition (aohr) a survey. ACM Comput. Surv. (CSUR) 50(3), 1\u201335 (2017)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"1","key":"82_CR4","first-page":"23","volume":"5","author":"AT Al-Taani","year":"2010","unstructured":"Al-Taani, A.T., Al-Haj, S.: Recognition of on-line arabic handwritten characters using structural features. J. Pattern Recogn. Res. 5(1), 23\u201337 (2010)","journal-title":"J. Pattern Recogn. Res."},{"key":"82_CR5","unstructured":"Amin, A.: Machine recognition of handwritten arabic words by the irac ii system. In: Proceedings of the 7th Joint on Pattern Recognition, pp. 35\u201337 (1982)"},{"issue":"2","key":"82_CR6","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1504\/IJLT.2020.109572","volume":"15","author":"H Bezine","year":"2020","unstructured":"Bezine, H.: Authoring mobile tool for improving cursive handwriting learning\/writing skills. Int. J. Learn. Technol. 15(2), 150\u2013179 (2020)","journal-title":"Int. J. Learn. Technol."},{"issue":"4","key":"82_CR7","first-page":"1","volume":"32","author":"H Bezine","year":"2019","unstructured":"Bezine, H., Alimi, A.M.: Handwriting perceptual classification and synthesis using discriminate hmms and progressive iterative approximation. Neural Comput. Appl. 32(4), 1\u201322 (2019)","journal-title":"Neural Comput. Appl."},{"issue":"01","key":"82_CR8","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1142\/S0218001407005272","volume":"21","author":"H Bezine","year":"2007","unstructured":"Bezine, H., Kefi, M., Alimi, A.M.: On the beta-elliptic model for the control of the human arm movement. Int. J. Pattern Recogn. Artif. Intell. 21(01), 5\u201319 (2007)","journal-title":"Int. J. Pattern Recogn. Artif. Intell."},{"key":"82_CR9","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1016\/j.patcog.2017.07.030","volume":"72","author":"R Chaieb","year":"2017","unstructured":"Chaieb, R., Kalti, K., Luqman, M.M., Coustaty, M., Ogier, J.M., Amara, N.E.B.: Fuzzy generalized median graphs computation: application to content-based document retrieval. Pattern Recogn. 72, 266\u2013284 (2017)","journal-title":"Pattern Recogn."},{"issue":"1","key":"82_CR10","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1109\/21.141319","volume":"22","author":"KP Chan","year":"1992","unstructured":"Chan, K.P., Cheung, Y.: Fuzzy-attribute graph with application to Chinese character recognition. IEEE Trans. Syst. Man Cybern. 22(1), 153\u2013160 (1992)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"82_CR11","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/j.patcog.2018.06.017","volume":"84","author":"M Cl\u00e9ment","year":"2018","unstructured":"Cl\u00e9ment, M., Kurtz, C., Wendling, L.: Learning spatial relations and shapes for structural object description and scene recognition. Pattern Recogn. 84, 197\u2013210 (2018)","journal-title":"Pattern Recogn."},{"key":"82_CR12","doi-asserted-by":"crossref","unstructured":"Hamdi, Y., Boubaker, H., Dhieb, T., Elbaati, A., Alimi, A.M.: Hybrid DBLSTM-SVM based beta-elliptic-CNN models for online Arabic characters recognition. In: International Conference on Document Analysis and Recognition, pp. 545\u2013550 (2019)","DOI":"10.1109\/ICDAR.2019.00093"},{"issue":"1","key":"82_CR13","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/34.824819","volume":"22","author":"AK Jain","year":"2000","unstructured":"Jain, A.K., Duin, R.P.W., Mao, J.: Statistical pattern recognition: a review. IEEE Trans. Pattern Anal. Mach. Intell. 22(1), 4\u201337 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"82_CR14","first-page":"1","volume":"79","author":"R Maalej","year":"2020","unstructured":"Maalej, R., Kherallah, M.: Improving the DBLSTM for on-line Arabic handwriting recognition. Multimedia Tools Appl. 79(1), 1\u201322 (2020)","journal-title":"Multimedia Tools Appl."},{"key":"82_CR15","doi-asserted-by":"publisher","first-page":"142642","DOI":"10.1109\/ACCESS.2020.3012542","volume":"8","author":"J Memon","year":"2020","unstructured":"Memon, J., Sami, M., Khan, R.A., Uddin, M.: Handwritten optical character recognition (OCR): a comprehensive systematic literature review (SLR). IEEE Access 8, 142642\u2013142668 (2020)","journal-title":"IEEE Access"},{"issue":"5","key":"82_CR16","first-page":"142","volume":"9","author":"S Njah","year":"2012","unstructured":"Njah, S., Ltaief, M., Bezine, H., Alimi, A.M.: The perTOHS theory for on-line handwriting segmentation. Int. J. Comput. Sci. 9(5), 142\u2013151 (2012)","journal-title":"Int. J. Comput. Sci."},{"key":"82_CR17","doi-asserted-by":"crossref","unstructured":"Njah, S., Nouma, B.B., Bezine, H., Alimi, A.M.: MAYASTROUN: a multilanguage handwriting database. In: International Conference on Frontiers in Handwriting Recognition, pp. 308\u2013312 (2012)","DOI":"10.1109\/ICFHR.2012.230"},{"issue":"1","key":"82_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13278-020-00668-1","volume":"10","author":"AH Ombabi","year":"2020","unstructured":"Ombabi, A.H., Ouarda, W., Alimi, A.M.: Deep learning CNN-LSTM framework for Arabic sentiment analysis using textual information shared in social networks. Soc. Netw. Anal. Min. 10(1), 1\u201313 (2020)","journal-title":"Soc. Netw. Anal. Min."},{"issue":"5","key":"82_CR19","doi-asserted-by":"publisher","first-page":"297","DOI":"10.14311\/AP.2018.58.0297","volume":"58","author":"B Samir","year":"2018","unstructured":"Samir, B., Boukelif, A.: New approach for online Arabic manuscript recognition by deep belief network. Acta Polytechnica 58(5), 297\u2013307 (2018)","journal-title":"Acta Polytechnica"},{"issue":"5","key":"82_CR20","doi-asserted-by":"publisher","first-page":"1589","DOI":"10.1109\/JBHI.2017.2767063","volume":"22","author":"B Shickel","year":"2017","unstructured":"Shickel, B., Tighe, P.J., Bihorac, A., Rashidi, P.: Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis. IEEE J. Biomed. Health Inform. 22(5), 1589\u20131604 (2017)","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"9","key":"82_CR21","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1177\/0037549717709932","volume":"93","author":"A U\u00e7ar","year":"2017","unstructured":"U\u00e7ar, A., Demir, Y., G\u00fczeli\u015f, C.: Object recognition and detection with deep learning for autonomous driving applications. Simulation 93(9), 759\u2013769 (2017)","journal-title":"Simulation"},{"key":"82_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"VN Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, Heidelberg (1995)"},{"issue":"24","key":"82_CR23","first-page":"43","volume":"120","author":"P Vithlani","year":"2015","unstructured":"Vithlani, P., Kumbharana, C.: Structural and statistical feature extraction methods for character and digit recognition. Int. J. Comput. Appl. 120(24), 43\u201347 (2015)","journal-title":"Int. J. Comput. Appl."},{"key":"82_CR24","unstructured":"Wu, J.: Introduction to convolutional neural networks. National Key Lab for Novel Software Technology, Nanjing University, China, vol. 5, p. 23 (2017)"},{"key":"82_CR25","first-page":"1","volume":"2018","author":"Q Zhao","year":"2018","unstructured":"Zhao, Q., Lyu, S., Zhang, B., Feng, W.: Multiactivation pooling method in convolutional neural networks for image recognition. Wireless Commun. Mobile Comput. 2018, 1\u201315 (2018)","journal-title":"Wireless Commun. Mobile Comput."},{"key":"82_CR26","unstructured":"Zitouni, R., Bezine, H., Arous, N.: Fuzzy rules-based system for description spatial relations among handwriting strokes. In: International Conference on Machine Vision, pp. 466\u2013471 (2018)"},{"key":"82_CR27","doi-asserted-by":"crossref","unstructured":"Zitouni, R., Bezine, H., Arous, N.: Graph based method for online handwritten character recognition. In: VISIGRAPP (1: GRAPP), pp. 263\u2013270 (2020)","DOI":"10.5220\/0008956602630270"},{"key":"82_CR28","unstructured":"Zitouni, R., Bezine, H., Arous, N.: Online handwritten Arabic scripts recognition using stroke-based class labeling scheme. Int. J. Comput. Intell. Syst. (in press)"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-71187-0_82","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,2]],"date-time":"2021-06-02T05:26:10Z","timestamp":1622611570000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-71187-0_82"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030711863","9783030711870"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-71187-0_82","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"3 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda20\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}