{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deepfont-identify-your-font-from-an-image","title":"DeepFont: Identify Your Font from An Image","arxiv_id":"1507.03196","date":"2015-07-12","proceeding":null,"authors":["Zhangyang Wang","Jianchao Yang","Hailin Jin","Eli Shechtman","Aseem Agarwala","Jonathan Brandt","Thomas S. Huang"],"abstract":"As font is one of the core design concepts, automatic font identification and\nsimilar font suggestion from an image or photo has been on the wish list of\nmany designers. We study the Visual Font Recognition (VFR) problem, and advance\nthe state-of-the-art remarkably by developing the DeepFont system. First of\nall, we build up the first available large-scale VFR dataset, named AdobeVFR,\nconsisting of both labeled synthetic data and partially labeled real-world\ndata. Next, to combat the domain mismatch between available training and\ntesting data, we introduce a Convolutional Neural Network (CNN) decomposition\napproach, using a domain adaptation technique based on a Stacked Convolutional\nAuto-Encoder (SCAE) that exploits a large corpus of unlabeled real-world text\nimages combined with synthetic data preprocessed in a specific way. Moreover,\nwe study a novel learning-based model compression approach, in order to reduce\nthe DeepFont model size without sacrificing its performance. The DeepFont\nsystem achieves an accuracy of higher than 80% (top-5) on our collected\ndataset, and also produces a good font similarity measure for font selection\nand suggestion. We also achieve around 6 times compression of the model without\nany visible loss of recognition accuracy.","url_abs":"http://arxiv.org/abs/1507.03196v1","url_pdf":"http://arxiv.org/pdf/1507.03196v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deepfont-identify-your-font-from-an-image","repo_url":"https://github.com/robinreni96/Font_Recognition-DeepFont","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"domain-adaptation","task_name":"Domain Adaptation"},{"task_slug":"font-recognition","task_name":"Font Recognition"},{"task_slug":"model-compression","task_name":"Model Compression"}],"methods":[],"datasets_introduced":[{"slug":"adobevfr-real","name":"AdobeVFR real","full_name":"Adobe Visual Font Recognition real-world images dataset"},{"slug":"adobevfr","name":"AdobeVFR syn","full_name":"Adobe Visual Font Recognition synthetic dataset"}],"methods_introduced":[],"results":[{"leaderboard":"/sota/font-recognition-on-adobevfr-real","task":"Font Recognition","dataset":"AdobeVFR real","model":"DeepFont (CAE_FR)","rank_in_archive_order":1,"of":2,"metrics":{"Top 1 Accuracy":"71.42","Top 5 Accuracy":"81.79","Top 5 Error Rate":"18.21","Top-1 Error Rate":"28.58"},"uses_additional_data":false},{"leaderboard":"/sota/font-recognition-on-adobevfr-syn","task":"Font Recognition","dataset":"AdobeVFR syn","model":"DeepFont (S)","rank_in_archive_order":1,"of":5,"metrics":{"Top 1 Accuracy":"98.97","Top 5 Accuracy":"100","Top 5 Error Rate":"0","Top-1 Error Rate":"1.03"},"uses_additional_data":false},{"leaderboard":"/sota/font-recognition-on-adobevfr-syn","task":"Font Recognition","dataset":"AdobeVFR syn","model":"DeepFont (CAE_FR)","rank_in_archive_order":3,"of":5,"metrics":{"Top 1 Accuracy":"93.42","Top 5 Accuracy":"100","Top 5 Error Rate":"0","Top-1 Error Rate":"6.58"},"uses_additional_data":false},{"leaderboard":"/sota/font-recognition-on-adobevfr-syn","task":"Font Recognition","dataset":"AdobeVFR syn","model":"DeepFont (F)","rank_in_archive_order":4,"of":5,"metrics":{"Top 1 Accuracy":"92.6","Top 5 Accuracy":"100","Top 5 Error Rate":"0","Top-1 Error Rate":"7.4"},"uses_additional_data":false},{"leaderboard":"/sota/font-recognition-on-vfr-wild","task":"Font Recognition","dataset":"VFR-Wild","model":"DeepFont (CAE_FR)","rank_in_archive_order":1,"of":2,"metrics":{"Top 1 Accuracy":"61.85","Top 5 Accuracy":"79.38","Top 5 Error Rate":"20.62","Top-1 Error Rate":"38.15"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}