{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:58:50Z","timestamp":1740099530047,"version":"3.37.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030307530"},{"type":"electronic","value":"9783030307547"}],"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\/978-3-030-30754-7_12","type":"book-chapter","created":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T19:02:43Z","timestamp":1567364563000},"page":"115-125","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Improving Ancient Cham Glyph Recognition from Cham Inscription Images Using Data Augmentation and Transfer Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3388-6624","authenticated-orcid":false,"given":"Minh-Thang","family":"Nguyen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1058-8835","authenticated-orcid":false,"given":"Anne-Val\u00e9rie","family":"Schweyer","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9541-3905","authenticated-orcid":false,"given":"Thi-Lan","family":"Le","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3133-3361","authenticated-orcid":false,"given":"Thanh-Hai","family":"Tran","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2880-4417","authenticated-orcid":false,"given":"Hai","family":"Vu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,9,2]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Valy, D., Verleysen, M., Chhun, S., Burie, J.C.: A new Khmer Palm leaf manuscript dataset for document analysis and recognition: SleukRith set. In: Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, pp. 1\u20136. ACM (2017)","DOI":"10.1145\/3151509.3151510"},{"key":"12_CR2","unstructured":"Perez, L., Wang, J.: The effectiveness of data augmentation in image classification using deep learning. arXiv preprint \n                      arXiv:1712.04621\n                      \n                     (2017)"},{"key":"12_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/978-3-319-24075-6_17","volume-title":"Advances in Multimedia Information Processing \u2013 PCM 2015","author":"N Xu","year":"2015","unstructured":"Xu, N., Wang, W., Qu, X.: On-line sample generation for in-air written Chinese character recognition based on leap motion controller. In: Ho, Y.-S., Sang, J., Ro, Y.M., Kim, J., Wu, F. (eds.) PCM 2015. LNCS, vol. 9314, pp. 171\u2013180. Springer, Cham (2015). \n                      https:\/\/doi.org\/10.1007\/978-3-319-24075-6_17"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Leung, K.C., Leung, C.H.: Recognition of handwritten Chinese characters by combining regularization, fisher\u2019s discriminant and distorted sample generation. In: Proceedings of the 10th International Conference on Document Analysis and Recognition, pp. 1026\u20131030 (2009)","DOI":"10.1109\/ICDAR.2009.48"},{"key":"12_CR5","unstructured":"Simard, P.Y., Steinkraus, D., Platt, J.C.: Best practices for convolutional neural networks applied to visual document analysis. In: ICDAR, vol. 3, no. 2003 (2003)"},{"key":"12_CR6","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 886\u2013893 (2005)"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Junior, O.L., Delgado, D., Gon\u00e7alves, V., Nun, U.: Trainable classifier-fusion schemes: an application to pedestrian detection. In: Intelligent Transportation Systems, vol. 2 (2009)","DOI":"10.1109\/ITSC.2009.5309700"},{"key":"12_CR8","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/978-3-319-11071-4_2","volume-title":"Engineering Applications of Neural Networks","author":"K Takahashi","year":"2014","unstructured":"Takahashi, K., Takahashi, S., Cui, Y., Hashimoto, M.: Remarks on computational facial expression recognition from HOG features using quaternion multi-layer neural network. In: Mladenov, V., Jayne, C., Iliadis, L. (eds.) EANN 2014. CCIS, vol. 459, pp. 15\u201324. Springer, Cham (2014). \n                      https:\/\/doi.org\/10.1007\/978-3-319-11071-4_2"},{"key":"12_CR9","unstructured":"Griffith, A., Lepoutre, A., Southworth, W.A., Thanh, P.: The Inscriptions of Campa at the Museum of Cham Sculpture in Da Nang. VNU-HCM Publishing House (2012)"},{"issue":"1","key":"12_CR10","doi-asserted-by":"publisher","first-page":"321","DOI":"10.3406\/befeo.1999.3415","volume":"86","author":"Anne-Val\u00e9rie Schweyer","year":"1999","unstructured":"Schweyer, A.-V.: Chronologie des inscriptions publi\u00e9es du Camp\u0101. In: Bulletin de l\u2019Ecole fran\u00e7aise d\u2019Extr\u00eame-Orient, vol. 86, pp. 321\u2013344 (1999)","journal-title":"Bulletin de l'Ecole fran\u00e7aise d'Extr\u00eame-Orient"},{"issue":"2","key":"12_CR11","doi-asserted-by":"publisher","first-page":"43","DOI":"10.3390\/jimaging4020043","volume":"4","author":"M Kesiman","year":"2018","unstructured":"Kesiman, M., et al.: Benchmarking of document image analysis tasks for palm leaf manuscripts from Southeast Asia. J. Imaging 4(2), 43 (2018)","journal-title":"J. Imaging"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Nguyen, M.-T., Schweyer, A.-V., Le, T.-L., Tran, T.-H., Vu, H.: Preliminary results on ancient cham character recognition from cham inscription images. In: 2nd International Conference on Multimedia Analysis and Pattern Recognition (2019)","DOI":"10.1109\/MAPR.2019.8743540"},{"key":"12_CR13","unstructured":"Nordl\u00f6f, J.: Comparative Analysis of Models for Real-Time Pattern Recognition (2014)"},{"key":"12_CR14","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1007\/978-3-319-93040-4_28","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"X Zhu","year":"2018","unstructured":"Zhu, X., Liu, Y., Li, J., Wan, T., Qin, Z.: Emotion classification with data augmentation using generative adversarial networks. In: Phung, D., Tseng, V.S., Webb, G.I., Ho, B., Ganji, M., Rashidi, L. (eds.) PAKDD 2018. LNCS (LNAI), vol. 10939, pp. 349\u2013360. Springer, Cham (2018). \n                      https:\/\/doi.org\/10.1007\/978-3-319-93040-4_28"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"issue":"10","key":"12_CR16","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2009","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2009)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"12_CR17","unstructured":"Fei-Fei, L.: ImageNet: crowdsourcing, benchmarking and other cool things. In: CMU VASC Seminar, vol. 16, pp. 18\u201325 (2010)"},{"key":"12_CR18","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: Advances in Neural Information Processing Systems, pp. 2672\u20132680 (2014)"},{"issue":"6266","key":"12_CR19","doi-asserted-by":"publisher","first-page":"1332","DOI":"10.1126\/science.aab3050","volume":"350","author":"BM Lake","year":"2015","unstructured":"Lake, B.M., Salakhutdinov, R., Tenenbaum, J.B.: Human-level concept learning through probabilistic program induction. Science 350(6266), 1332\u20131338 (2015)","journal-title":"Science"},{"key":"12_CR20","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. 1, pp. 886\u2013893. IEEE (2005)"},{"issue":"1","key":"12_CR21","first-page":"69","volume":"2","author":"S Kumar","year":"2010","unstructured":"Kumar, S.: Neighborhood pixels weights-a new feature extractor. Int. J. Comput. Theory Eng. 2(1), 69 (2010)","journal-title":"Int. J. Comput. Theory Eng."}],"container-title":["Lecture Notes in Computer Science","New Trends in Image Analysis and Processing \u2013 ICIAP 2019"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30754-7_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T19:33:30Z","timestamp":1567366410000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30754-7_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030307530","9783030307547"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30754-7_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"2 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trento","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"9 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/event.unitn.it\/iciap2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"207","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":"117","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":"57% - 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":"2.6","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":"4","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)"}}]}}