完整後設資料紀錄
DC 欄位語言
dc.contributor.authorCheng, Chang-Chiehen_US
dc.contributor.authorChen, Yi-Chien_US
dc.contributor.authorChing, Yu-Taien_US
dc.date.accessioned2020-10-05T02:01:31Z-
dc.date.available2020-10-05T02:01:31Z-
dc.date.issued2019-01-01en_US
dc.identifier.isbn978-1-45-036869-8en_US
dc.identifier.urihttp://dx.doi.org/10.1145/3341162.3343840en_US
dc.identifier.urihttp://hdl.handle.net/11536/155293-
dc.description.abstractSignature verification, if we consider the muscle memory, is a biometric for identification technology. To access muscle memory, we use a motion sensor that consists of accelerometer and gyroscope to implement a signature verification system. The motion sensor records six motion values including three-axis accelerations and angular velocities while name signing. 14 features of signature are extracted from the sequence of accelerations and angular velocities. A support vector machine (SVM) is then applied to verify the signatures. The proposed method was applied to verify the Chinese signatures. The SVM is trained by the training data from each person. The true positive rate of the proposed method can reach to 95.66%. Fake signatures generated by tracing from true signatures can also be recognized by the proposed method.en_US
dc.language.isoen_USen_US
dc.subjecthandwritten signature verificationen_US
dc.subjectmotion sensoren_US
dc.subjectmachine learningen_US
dc.subjectSVMen_US
dc.titleHandwritten Signature Verification by Using a Six-Axis Motion Sensor and SVMen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1145/3341162.3343840en_US
dc.identifier.journalADJUNCT PROCEEDINGS OF THE 2019 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2019 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'19 ADJUNCT)en_US
dc.citation.spage25en_US
dc.citation.epage28en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department資訊技術服務中心zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentInformation Technology Services Centeren_US
dc.identifier.wosnumberWOS:000558324800007en_US
dc.citation.woscount0en_US
顯示於類別:會議論文