Writer-independent online signature verification based on 2D representation of time series data using triplet supervised network
文献类型：期刊论文
| 作者 | Xie, Liyang1,2; Wu, Zhongcheng1,2,4 ; Zhang, Xian1,3; Li, Yong1; Wang, Xinkuang1,2
|
| 刊名 | MEASUREMENT
 |
| 出版日期 | 2022-06-30 |
| 卷号 | 197 |
| 关键词 | WI online signature verification 2D representation method Channel-wise Weight Learning mechanism Triplet Supervised Network |
| ISSN号 | 0263-2241 |
| DOI | 10.1016/j.measurement.2022.111312 |
| 通讯作者 | Wu, Zhongcheng(zcwu@iim.ac.cn) |
| 英文摘要 | Online signature verification (OSV) as a critical link of the paperless office still has tremendous challenges. In this paper, we propose a novel Writer-Independent (WI) OSV framework that includes three parts. (1) The two-dimensional (2D) representation method is designed to transform the original time-series signature data into stroke images with dynamic-static hybrid information. (2) The Channel-wise Weight Learning (CWL) mechanism is integrated into the feature extractor to mine the potential relationship between three dynamic attributes (altitude, azimuth, and pressure). (3) A new Triplet Supervised Network (TSN) that contains three weight-shared convolution neural network (CNN) streams was provided to measure the distance of [Anchor, Positive, Test]. The experimental results show that our model has at least 1.29% accuracy improvement when confronted with skilled forgery signatures than that of other classical CNNs and 11.43% than lightweight models. Moreover, the TSN model is superior to the previous OSV algorithms in the WI pattern. |
| WOS关键词 | RECOGNITION ; INFORMATION ; SYSTEM |
| 资助项目 | Research and Development of Hefei Science Center, CAS[2019HSC-KPRD003] ; Hefei Comprehensive National Science Center ; High Magnetic Field Laboratory of Anhui Province |
| WOS研究方向 | Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000807247600004 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Research and Development of Hefei Science Center, CAS ; Hefei Comprehensive National Science Center ; High Magnetic Field Laboratory of Anhui Province |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/131329]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Wu, Zhongcheng |
| 作者单位 | 1.Chinese Acad Sci, Hefei Inst Phys Sci, High Magnet Field Lab, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Peoples R China 3.Anhui Univ, Hefei 230039, Peoples R China 4.350 Shushanhu Rd, Hefei, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xie, Liyang,Wu, Zhongcheng,Zhang, Xian,et al. Writer-independent online signature verification based on 2D representation of time series data using triplet supervised network[J]. MEASUREMENT,2022,197. |
| APA | Xie, Liyang,Wu, Zhongcheng,Zhang, Xian,Li, Yong,&Wang, Xinkuang.(2022).Writer-independent online signature verification based on 2D representation of time series data using triplet supervised network.MEASUREMENT,197. |
| MLA | Xie, Liyang,et al."Writer-independent online signature verification based on 2D representation of time series data using triplet supervised network".MEASUREMENT 197(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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