{"type":"ScholarlyArticle","title":"A Visual Approach to Sketched Symbol Recognition","authors":[{"name":"Tom Y. Ouyang","slug":"tom-y-ouyang","given":"Tom Y.","family":"Ouyang","affiliation":""},{"name":"Randall Davis","slug":"randall-davis","given":"Randall","family":"Davis","affiliation":""}],"abstract":"There is increasing interest in building systems that can automatically interpret hand-drawn sketches. However, many challenges remain in terms of recognition accuracy, robustness to different drawing styles, and ability to generalize across multiple domains. To address these challenges, we propose a new approach to sketched symbol recognition that focuses on the visual appearance of the symbols. This allows us to better handle the range of visual and stroke-level variations found in freehand drawings. We also present a new symbol classifier that is computationally efficient and invariant to rotation and local deformations. We show that our method exceeds state-of-the-art performance on all three domains we evaluated, including handwritten digits, PowerPoint shapes, and electrical circuit symbols.Tom Y. Ouyang, Randall Davis","doi":null,"url":"https://ijcai.org/proceedings/2009/245","pdf":"https://ijcai.org/proceedings/2009/0245.pdf","markdown":"https://ijcai.org/proceedings/2009/245.md","bibtex":"https://ijcai.org/proceedings/2009/bibtex/245","volume":{"slug":"2009","title":"Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2009","url":"https://ijcai.org/proceedings/2009/","year":2009,"location":"Pasadena, California, USA","dates":"","editors":"Hiroaki Kitano","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":245,"pages":{"first":1463,"last":1467},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}