{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T00:35:32Z","timestamp":1753922132603,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319685472"},{"type":"electronic","value":"9783319685489"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68548-9_55","type":"book-chapter","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T13:05:13Z","timestamp":1507813513000},"page":"602-613","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Identity Documents Classification as an Image Classification Problem"],"prefix":"10.1007","author":[{"given":"Ronan","family":"Sicre","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmad Montaser","family":"Awal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teddy","family":"Furon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,13]]},"reference":[{"key":"55_CR1","doi-asserted-by":"crossref","unstructured":"Arandjelovi\u0107, R., Gronat, P., Torii, A., Pajdla, T., Sivic, J.: NetVLAD: CNN architecture for weakly supervised place recognition. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.572"},{"key":"55_CR2","unstructured":"Bagdanov, A., Worring, M.: Fine-grained document genre classification using first order random graphs. In: ICDAR, pp. 79\u201383 (2001)"},{"key":"55_CR3","doi-asserted-by":"crossref","unstructured":"Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. In: BMVC (2014)","DOI":"10.5244\/C.28.6"},{"key":"55_CR4","unstructured":"Chen, S., He, Y., Sun, J., Naoi, S.: Structured document classification by matching local salient features. In: ICPR, pp. 653\u2013656. IEEE (2012)"},{"key":"55_CR5","doi-asserted-by":"crossref","unstructured":"Cimpoi, M., Maji, S., Vedaldi, A.: Deep filter banks for texture recognition and segmentation. In: Proceedings of the IEEE CVPR, pp. 3828\u20133836 (2015)","DOI":"10.1109\/CVPR.2015.7299007"},{"key":"55_CR6","unstructured":"Csurka, G., Dance, C.R., Fan, L., Willamowski, J., Bray, C.: Visual categorization with bags of keypoints. In: International Workshop on Statistical Learning in Computer Vision (2004)"},{"key":"55_CR7","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: CVPR. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"55_CR8","unstructured":"Eglin, V., Bres, S.: Document page similarity based on layout visual saliency: application to query by example and document classification. In: ICDAR (2003)"},{"issue":"2","key":"55_CR9","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The Pascal visual object classes (VOC) challenge. Int. J. Comput. Vis. 88(2), 303\u2013338 (2010). Springer","journal-title":"Int. J. Comput. Vis."},{"issue":"9","key":"55_CR10","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1109\/TPAMI.2009.167","volume":"32","author":"PF Felzenszwalb","year":"2010","unstructured":"Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models. Trans. PAMI 32(9), 1627\u20131645 (2010)","journal-title":"Trans. PAMI"},{"key":"55_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1007\/978-3-319-10584-0_26","volume-title":"Computer Vision \u2013 ECCV 2014","author":"Y Gong","year":"2014","unstructured":"Gong, Y., Wang, L., Guo, R., Lazebnik, S.: Multi-scale orderless pooling of deep convolutional activation features. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8695, pp. 392\u2013407. Springer, Cham (2014). doi:10.1007\/978-3-319-10584-0_26"},{"key":"55_CR12","doi-asserted-by":"crossref","unstructured":"de las Heras, L.P., Terrades, O.R., Llados, J., Fernandez-Mota, D., Canero, C.: Use case visual bag-of-words techniques for camera based identity document classification. In: ICDAR, pp. 721\u2013725, August 2015","DOI":"10.1109\/ICDAR.2015.7333856"},{"key":"55_CR13","doi-asserted-by":"crossref","unstructured":"Herranz, L., Jiang, S., Li, X.: Scene recognition with CNNs: objects, scales and dataset bias. In: CVPR, pp. 571\u2013579 (2016)","DOI":"10.1109\/CVPR.2016.68"},{"key":"55_CR14","doi-asserted-by":"publisher","first-page":"1704","DOI":"10.1109\/TPAMI.2011.235","volume":"34","author":"H J\u00e9gou","year":"2012","unstructured":"J\u00e9gou, H., Perronnin, F., Douze, M., Schmid, C., et al.: Aggregating local image descriptors into compact codes. Trans. PAMI 34, 1704\u20131716 (2012)","journal-title":"Trans. PAMI"},{"key":"55_CR15","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1097\u20131105 (2012)"},{"key":"55_CR16","doi-asserted-by":"crossref","unstructured":"Kumar, J., Doermann, D.: Unsupervised classification of structurally similar document images. In: ICDAR, pp. 1225\u20131229. IEEE (2013)","DOI":"10.1109\/ICDAR.2013.248"},{"key":"55_CR17","doi-asserted-by":"crossref","unstructured":"Lai, S., Xu, L., Liu, K., Zhao, J.: Recurrent convolutional neural networks for text classification. In: AAAI, vol. 333, pp. 2267\u20132273 (2015)","DOI":"10.1609\/aaai.v29i1.9513"},{"key":"55_CR18","unstructured":"Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: CVPR (2006)"},{"key":"55_CR19","unstructured":"Liu, L., Shen, C., Wang, L., van den Hengel, A., Wang, C.: Encoding high dimensional local features by sparse coding based fisher vectors. In: NIPS (2014)"},{"key":"55_CR20","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"55_CR21","doi-asserted-by":"crossref","unstructured":"Lowe, D.: Object recognition from local scale-invariant features. In: ICCV (1999)","DOI":"10.1109\/ICCV.1999.790410"},{"key":"55_CR22","doi-asserted-by":"crossref","unstructured":"Oquab, M., Bottou, L., Laptev, I., Sivic, J., et al.: Learning and transferring mid-level image representations using convolutional neural networks. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.222"},{"key":"55_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/978-3-642-15561-1_11","volume-title":"Computer Vision \u2013 ECCV 2010","author":"F Perronnin","year":"2010","unstructured":"Perronnin, F., S\u00e1nchez, J., Mensink, T.: Improving the fisher kernel for large-scale image classification. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6314, pp. 143\u2013156. Springer, Heidelberg (2010). doi:10.1007\/978-3-642-15561-1_11"},{"key":"55_CR24","unstructured":"Shin, C., Doermann, D.: Document image retrieval based on layout structural similarity. In: IPCV, pp. 606\u2013612 (2006)"},{"key":"55_CR25","doi-asserted-by":"crossref","unstructured":"Sicre, R., Avrithis, Y., Kijak, E., Jurie, F.: Unsupervised part learning for visual recognition. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.332"},{"key":"55_CR26","doi-asserted-by":"crossref","unstructured":"Sicre, R., Gevers, T.: Dense sampling of features for image retrieval. In: ICIP, pp. 3057\u20133061. IEEE (2014)","DOI":"10.1109\/ICIP.2014.7025618"},{"key":"55_CR27","doi-asserted-by":"crossref","unstructured":"Sicre, R., J\u00e9gou, H.: Memory vectors for particular object retrieval with multiple queries. In: ICMR, pp. 479\u2013482. ACM (2015)","DOI":"10.1145\/2671188.2749306"},{"key":"55_CR28","first-page":"28","volume":"141","author":"R Sicre","year":"2015","unstructured":"Sicre, R., Jurie, F.: Discriminative part model for visual recognition. CVIU 141, 28\u201337 (2015)","journal-title":"CVIU"},{"key":"55_CR29","doi-asserted-by":"crossref","unstructured":"Sicre, R., Tasli, H.E., Gevers, T.: Superpixel based angular differences as a mid-level image descriptor. In: ICPR, pp. 3732\u20133737. IEEE (2014)","DOI":"10.1109\/ICPR.2014.641"},{"key":"55_CR30","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: ICLR (2015)"},{"key":"55_CR31","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"55_CR32","doi-asserted-by":"crossref","unstructured":"Tasli, H.E., Sicre, R., Gevers, T., Alatan, A.A.: Geometry-constrained spatial pyramid adaptation for image classification. In: ICIP (2014)","DOI":"10.1109\/ICIP.2014.7025209"},{"key":"55_CR33","unstructured":"Tolias, G., Sicre, R., J\u00e9gou, H.: Particular object retrieval with integral max-pooling of CNN activations. In: ICLR (2016)"},{"key":"55_CR34","unstructured":"Xing, C., Wang, D., Zhang, X., Liu, C.: Document classification with distributions of word vectors. In: APSIPA"},{"key":"55_CR35","unstructured":"Zhou, B., Lapedriza, A., Xiao, J., Torralba, A., Oliva, A.: Learning deep features for scene recognition using places database. In: NIPS (2014)"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68548-9_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:44:27Z","timestamp":1709811867000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68548-9_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319685472","9783319685489"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68548-9_55","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"13 October 2017","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":"Catania","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":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iciap2017.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}