標題: Handwritten Signature Verification by Using a Six-Axis Motion Sensor and SVM
作者: Cheng, Chang-Chieh
Chen, Yi-Chi
Ching, Yu-Tai
資訊工程學系
資訊技術服務中心
Department of Computer Science
Information Technology Services Center
關鍵字: handwritten signature verification;motion sensor;machine learning;SVM
公開日期: 1-一月-2019
摘要: Signature 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.
URI: http://dx.doi.org/10.1145/3341162.3343840
http://hdl.handle.net/11536/155293
ISBN: 978-1-45-036869-8
DOI: 10.1145/3341162.3343840
期刊: ADJUNCT 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)
起始頁: 25
結束頁: 28
顯示於類別:會議論文