{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T12:36:43Z","timestamp":1751373403008,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030339036"},{"type":"electronic","value":"9783030339043"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-33904-3_17","type":"book-chapter","created":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T22:40:05Z","timestamp":1572043205000},"page":"187-197","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Face Spoofing Detection on Low-Power Devices Using Embeddings with Spatial and Frequency-Based Descriptors"],"prefix":"10.1007","author":[{"given":"Rafael Henrique","family":"Vareto","sequence":"first","affiliation":[]},{"given":"Matheus A.","family":"Diniz","sequence":"additional","affiliation":[]},{"given":"William Robson","family":"Schwartz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,22]]},"reference":[{"key":"17_CR1","unstructured":"Information technology - biometric presentation attack detection - part 1: Framework. international organization for standardization. Technical report, ISO\/IEC JTC 1\/SC 37 Biometrics (2016)"},{"key":"17_CR2","unstructured":"Boulkenafet, Z., et al.: A competition on generalized software-based face presentation attack detection in mobile scenarios. In: IJCB, pp. 688\u2013696. IEEE (2017)"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"Boulkenafet, Z., Komulainen, J., Hadid, A.: Face anti-spoofing based on color texture analysis. In: ICIP, pp. 2636\u20132640. IEEE (2015)","DOI":"10.1109\/ICIP.2015.7351280"},{"issue":"8","key":"17_CR4","first-page":"1818","volume":"11","author":"Z Boulkenafet","year":"2016","unstructured":"Boulkenafet, Z., Komulainen, J., Hadid, A.: Face spoofing detection using colour texture analysis. TIFS 11(8), 1818\u20131830 (2016)","journal-title":"TIFS"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Boulkenafet, Z., Komulainen, J., Li, L., Feng, X., Hadid, A.: OULU-NPU: a mobile face presentation attack database with real-world variations. In: FG, IEEE (2017)","DOI":"10.1109\/FG.2017.77"},{"issue":"2","key":"17_CR6","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123\u2013140 (1996)","journal-title":"Mach. Learn."},{"key":"17_CR7","unstructured":"Chingovska, I., Anjos, A., Marcel, S.: On the effectiveness of local binary patterns in face anti-spoofing. In: BIOSIG. No. EPFL-CONF-192369 (2012)"},{"key":"17_CR8","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR, vol. 1, pp. 886\u2013893. IEEE (2005)"},{"key":"17_CR9","first-page":"451","volume":"38","author":"L Feng","year":"2016","unstructured":"Feng, L.: Integration of image quality and motion cues for face anti-spoofing: a neural network approach. JVCIR 38, 451\u2013460 (2016)","journal-title":"JVCIR"},{"issue":"4","key":"17_CR10","first-page":"778","volume":"10","author":"DC Garcia","year":"2015","unstructured":"Garcia, D.C., de Queiroz, R.L.: Face-spoofing 2D-detection based on moir\u00e9-pattern analysis. TIFS 10(4), 778\u2013786 (2015)","journal-title":"TIFS"},{"key":"17_CR11","first-page":"610","volume":"6","author":"RM Haralick","year":"1973","unstructured":"Haralick, R.M., Shanmugam, K., et al.: Textural features for image classification. TSMC 6, 610\u2013621 (1973)","journal-title":"TSMC"},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Kumar, S., Singh, S., Kumar, J.: A comparative study on face spoofing attacks. In: ICCCA, pp. 1104\u20131108. IEEE (2017)","DOI":"10.1109\/CCAA.2017.8229961"},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Li, L., Feng, X., Boulkenafet, Z., Xia, Z., Li, M., Hadid, A.: An original face anti-spoofing approach using partial convolutional neural network. In: IPTA, pp. 1\u20136. IEEE (2016)","DOI":"10.1109\/IPTA.2016.7821013"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Liu, Y., Jourabloo, A., Liu, X.: Learning deep models for face anti-spoofing: Binary or auxiliary supervision. In: CVPR, pp. 389\u2013398 (2018)","DOI":"10.1109\/CVPR.2018.00048"},{"key":"17_CR15","doi-asserted-by":"crossref","unstructured":"M\u00e4\u00e4tt\u00e4, J., Hadid, A., Pietik\u00e4inen, M.: Face spoofing detection from single images using micro-texture analysis. In: IJCB, pp. 1\u20137. IEEE (2011)","DOI":"10.1109\/IJCB.2011.6117510"},{"issue":"4","key":"17_CR16","first-page":"864","volume":"10","author":"D Menotti","year":"2015","unstructured":"Menotti, D., et al.: Deep representations for iris, face, and fingerprint spoofing detection. TIFS 10(4), 864\u2013879 (2015)","journal-title":"TIFS"},{"issue":"7","key":"17_CR17","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. TPAMI 24(7), 971\u2013987 (2002)","journal-title":"TPAMI"},{"key":"17_CR18","unstructured":"Pereira, T., Anjos, A., Martino, J.M., Marcel, S.: Can face anti-spoofing countermeasures work in a real world scenario? In: ICB, pp. 1\u20138. IEEE (2013)"},{"issue":"12","key":"17_CR19","first-page":"4726","volume":"24","author":"A Pinto","year":"2015","unstructured":"Pinto, A., Pedrini, H., Schwartz, W.R., Rocha, A.: Face spoofing detection through visual codebooks of spectral temporal cubes. TIP 24(12), 4726\u20134740 (2015)","journal-title":"TIP"},{"issue":"5","key":"17_CR20","first-page":"1025","volume":"10","author":"A Pinto","year":"2015","unstructured":"Pinto, A., Schwartz, W.R., Pedrini, H., de Rezende Rocha, A.: Using visual rhythms for detecting video-based facial spoof attacks. TIFS 10(5), 1025\u20131038 (2015)","journal-title":"TIFS"},{"key":"17_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-04186-4","volume-title":"Color Image Processing and Applications","author":"KN Plataniotis","year":"2013","unstructured":"Plataniotis, K.N., Venetsanopoulos, A.N.: Color Image Processing and Applications. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-662-04186-4"},{"key":"17_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1007\/11752790_2","volume-title":"Subspace, Latent Structure and Feature Selection","author":"R Rosipal","year":"2006","unstructured":"Rosipal, R., Kr\u00e4mer, N.: Overview and recent advances in partial least squares. In: Saunders, C., Grobelnik, M., Gunn, S., Shawe-Taylor, J. (eds.) SLSFS 2005. LNCS, vol. 3940, pp. 34\u201351. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11752790_2"},{"key":"17_CR23","doi-asserted-by":"crossref","unstructured":"Siddiqui, T.A., et al.: Face anti-spoofing with multifeature videolet aggregation. In: ICPR, pp. 1035\u20131040. IEEE (2016)","DOI":"10.1109\/ICPR.2016.7899772"},{"key":"17_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-77242-4","volume-title":"Support Vector Machines","author":"I Steinwart","year":"2008","unstructured":"Steinwart, I., Christmann, A.: Support Vector Machines. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-0-387-77242-4"},{"key":"17_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/978-3-319-59876-5_4","volume-title":"Image Analysis and Recognition","author":"O Lucena","year":"2017","unstructured":"Lucena, O., Junior, A., Moia, V., Souza, R., Valle, E., Lotufo, R.: Transfer learning using convolutional neural networks for face anti-spoofing. In: Karray, F., Campilho, A., Cheriet, F. (eds.) ICIAR 2017. LNCS, vol. 10317, pp. 27\u201334. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-59876-5_4"},{"key":"17_CR26","doi-asserted-by":"crossref","unstructured":"Vareto, R., Silva, S., Costa, F., Schwartz, W.R.: Towards open-set face recognition using hashing functions. In: IJCB, pp. 634\u2013641. IEEE (2017)","DOI":"10.1109\/BTAS.2017.8272751"},{"issue":"4","key":"17_CR27","first-page":"746","volume":"10","author":"D Wen","year":"2015","unstructured":"Wen, D., Han, H., Jain, A.K.: Face spoof detection with image distortion analysis. TIFS 10(4), 746\u2013761 (2015)","journal-title":"TIFS"},{"issue":"5","key":"17_CR28","first-page":"932","volume":"10","author":"Q Xiong","year":"2015","unstructured":"Xiong, Q., Liang, Y.C., Li, K.H., Gong, Y.: An energy-ratio-based approach for detecting pilot spoofing attack in multiple-antenna systems. TIFS 10(5), 932\u2013940 (2015)","journal-title":"TIFS"},{"key":"17_CR29","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Yan, J., Liu, S., Lei, Z., Yi, D., Li, S.Z.: A face antispoofing database with diverse attacks. In: ICB, pp. 26\u201331. IEEE (2012)","DOI":"10.1109\/ICB.2012.6199754"}],"container-title":["Lecture Notes in Computer Science","Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33904-3_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T14:07:15Z","timestamp":1710252435000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-33904-3_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030339036","9783030339043"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33904-3_17","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":"22 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CIARP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberoamerican Congress on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Havana","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuba","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":"28 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ciarp2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ciarp.uci.cu\/","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":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"128","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":"70","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":"55% - 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":"3","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}