{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:18:00Z","timestamp":1743135480344,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030341091"},{"type":"electronic","value":"9783030341107"}],"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\/978-3-030-34110-7_6","type":"book-chapter","created":{"date-parts":[[2019,11,27]],"date-time":"2019-11-27T18:02:59Z","timestamp":1574877779000},"page":"64-73","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Feature Refine Network for Text-Based CAPTCHA Recognition"],"prefix":"10.1007","author":[{"given":"Chen","family":"Duan","sequence":"first","affiliation":[]},{"given":"Rong","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ke","family":"Qing","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,11,28]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/978-1-4020-6710-5_3","volume-title":"Parsing the Turing Test","author":"AM Turing","year":"2009","unstructured":"Turing, A.M.: Computing machinery and intelligence. In: Epstein, R., Roberts, G., Beber, G. (eds.) Parsing the Turing Test, pp. 23\u201365. Springer, Dordrecht (2009)"},{"issue":"2","key":"6_CR2","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/966389.966390","volume":"47","author":"L Von Ahn","year":"2004","unstructured":"Von Ahn, L., Blum, M., Langford, J.: Telling humans and computers apart automatically. Commun. ACM 47(2), 56\u201360 (2004)","journal-title":"Commun. ACM"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Bursztein, E., Martin, M., Mitchell, J.: Text-based CAPTCHA strengths and weaknesses. In: Proceedings of the 18th ACM Conference on Computer and Communications Security, pp. 125\u2013138 (2011)","DOI":"10.1145\/2046707.2046724"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Yan, J., El Ahmad, A.S.: A Low-cost attack on a microsoft CAPTCHA. In: Proceedings of the 15th ACM Conference on Computer and Communications Security, pp. 543\u2013554 (2008)","DOI":"10.1145\/1455770.1455839"},{"key":"6_CR5","unstructured":"Mori, G., Malik, J.: Recognizing objects in adversarial clutter: breaking a visual CAPTCHA. In: Computer Vision and Pattern Recognition (2003)"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Qing, K., Zhang, R.: A multi-label neural network approach to solving connected CAPTCHAs. In: 14th IAPR International Conference on Document Analysis and Recognition, pp. 1313\u20131317 (2017)","DOI":"10.1109\/ICDAR.2017.216"},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Hu, Y., Chen, L., Cheng, J.: A CAPTCHA recognition technology based on deep learning. In: 13th IEEE Conference on Industrial Electronics and Applications, pp. 617\u2013620 (2018)","DOI":"10.1109\/ICIEA.2018.8397789"},{"key":"6_CR8","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems, pp. 91\u201399 (2015)"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 580\u2013587 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1440\u20131448 (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Kong, T., Yao, A., Chen, Y., et al.: Hypernet: towards accurate region proposal generation and joint object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 845\u2013853 (2016)","DOI":"10.1109\/CVPR.2016.98"},{"issue":"10","key":"6_CR12","doi-asserted-by":"publisher","first-page":"2522","DOI":"10.1109\/TIFS.2018.2821096","volume":"13","author":"M Tang","year":"2018","unstructured":"Tang, M., Gao, H., Zhang, Y., et al.: Research on deep learning techniques in breaking text-based captchas and designing image-based captcha. IEEE Trans. Inf. Forensics Secur. 13(10), 2522\u20132537 (2018)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"6_CR13","unstructured":"Bursztein, E., Aigrain, J., Moscicki, A.: The end is nigh: Generic solving of text-based captchas. In: Workshop on Offensive Technologies (2014)"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Gao, H., Yan, J., Cao, F., et al.: A simple generic attack on text captchas. In: The Network and Distributed System Security Symposium (2016)","DOI":"10.14722\/ndss.2016.23154"},{"issue":"6","key":"6_CR15","first-page":"814","volume":"23","author":"S Sano","year":"2015","unstructured":"Sano, S., Otsuka, T., Itoyama, K., Okuno, H.G.: HMM-based attacks on Google\u2019s ReCAPTCHA with continuous visual and audio symbols. J. Inf. Process. 23(6), 814\u2013826 (2015)","journal-title":"J. Inf. Process."},{"issue":"24","key":"6_CR16","doi-asserted-by":"publisher","first-page":"25547","DOI":"10.1007\/s11042-016-4151-2","volume":"76","author":"R Hussain","year":"2017","unstructured":"Hussain, R., Gao, H., Shaikh, R.A.: Segmentation of connected characters in text-based CAPTCHAs for intelligent character recognition. Multimedia Tools Appl. 76(24), 25547\u201325561 (2017)","journal-title":"Multimedia Tools Appl."},{"key":"6_CR17","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint (2014)"},{"key":"6_CR18","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"6_CR19","doi-asserted-by":"crossref","unstructured":"Bell, S., Zitnick, C.L., Bala, K., Girshick, R.: Inside-outside net: detecting objects in context with skip pooling and recurrent neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2874\u20132883 (2016)","DOI":"10.1109\/CVPR.2016.314"}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-34110-7_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:09:05Z","timestamp":1693526945000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-34110-7_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030341091","9783030341107"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-34110-7_6","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":"28 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","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":"23 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.csig.org.cn\/detail\/2669","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"}]}}