Knowledge Commons of Institute of Automation,CAS
Text-independent writer identification based on fusion of dynamic and static features | |
Jin, WF; Wang, YH; Tan, TN | |
发表期刊 | ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS |
2005 | |
卷号 | 3781期号:0页码:197-204 |
文章类型 | Article |
摘要 | Handwriting recognition is a traditional and natural approach for personal authentication. Compared to signature verification, text-independent writer identification has gained more attention for its advantage of denying imposters in recent years. Dynamic features and static features of the handwriting are usually adopted for writer identification separately. For text-independent writer identification, by using a single classifier with the dynamic or the static feature, the accuracy is low, and many characters are required (more than 150 characters on average). In this paper, we developed a writer identification method to combine the matching results of two classifiers which employs the static feature (texture) and dynamic features individually. Sum-Rule, Common Weighted Sum-Rule and User-specific Sum-Rule are applied as the fusion strategy. Especially, we gave an improvement for the user-specific Sum-Rule algorithm by using an error-score. Experiments were conducted on the NLPR handwriting database involving 55 persons. The results show that the combination methods can improve the identification accuracy and reduce the number of characters required. |
关键词 | None |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | RECOGNITION |
收录类别 | SCI ; ISTP |
语种 | 英语 |
WOS研究方向 | Computer Science ; Imaging Science & Photographic Technology |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000233430300025 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/9102 |
专题 | 09年以前成果 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, NLPR, CBSR, Beijing 100080, Peoples R China 2.Beihang Univ, Sch Comp Sci & Engn, Beijing 100083, Peoples R China |
推荐引用方式 GB/T 7714 | Jin, WF,Wang, YH,Tan, TN. Text-independent writer identification based on fusion of dynamic and static features[J]. ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,2005,3781(0):197-204. |
APA | Jin, WF,Wang, YH,&Tan, TN.(2005).Text-independent writer identification based on fusion of dynamic and static features.ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,3781(0),197-204. |
MLA | Jin, WF,et al."Text-independent writer identification based on fusion of dynamic and static features".ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS 3781.0(2005):197-204. |
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