TY - GEN
T1 - Handwriting watcher
AU - Griswold-Steiner, Isaac
AU - Matovu, Richard
AU - Serwadda, Abdul
N1 - Funding Information:
This research was supported by National Science Foundation Award Number: 1527795.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/1/29
Y1 - 2018/1/29
N2 - Despite decades of research on automated handwriting authentication, there is yet to emerge an automated handwriting authentication application that breaks into the mainstream. In this paper, we argue that the burgeoning wearables market holds the key to a practical handwriting authentication app. With potential applications in online education, standardized testing and mobile banking, we present Handwriting Watcher, a mechanism which leverages a wrist-worn sensor-enabled device to authenticate a user's free handwriting. Through experiments capturing a wide range of writing scenarios, we show Handwriting Watcher attains mean error rates as low as 6.56% across the population. Our work represents a promising step towards a market-ready, generalized handwriting authentication system.
AB - Despite decades of research on automated handwriting authentication, there is yet to emerge an automated handwriting authentication application that breaks into the mainstream. In this paper, we argue that the burgeoning wearables market holds the key to a practical handwriting authentication app. With potential applications in online education, standardized testing and mobile banking, we present Handwriting Watcher, a mechanism which leverages a wrist-worn sensor-enabled device to authenticate a user's free handwriting. Through experiments capturing a wide range of writing scenarios, we show Handwriting Watcher attains mean error rates as low as 6.56% across the population. Our work represents a promising step towards a market-ready, generalized handwriting authentication system.
UR - http://www.scopus.com/inward/record.url?scp=85046270363&partnerID=8YFLogxK
U2 - 10.1109/BTAS.2017.8272701
DO - 10.1109/BTAS.2017.8272701
M3 - Conference contribution
AN - SCOPUS:85046270363
T3 - IEEE International Joint Conference on Biometrics, IJCB 2017
SP - 216
EP - 224
BT - IEEE International Joint Conference on Biometrics, IJCB 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 October 2017 through 4 October 2017
ER -