Share Email Print
cover

Proceedings Paper

Mouse-based signature verification for secure Internet transactions
Author(s): Hansheng Lei; Srinivas Palla; Venu Govindaraju
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Most current on-line signature verification systems are pen-based, i.e., the signature is written by a pen on a digital tablet. To apply signature verification techniques to Internet applications, one desirable way is to use mouse as the input device. In this paper, a mouse based on-line signature verification system is presented. The signature data is represented in a compact and secure way. The enrollment is convenient for users and the verification can be real-time. The system architecture is a simple client-server structure that suits the common internet applications. The client side posts a sequence of X*Y to the server. That is, the raw signature sequence [X,Y] is represented by X+Y(dot sum of the X-, Y-coordinate sequences). Experimental results show that X+Yis effective for verification. Even if the sequence X+Y is intercepted during transmission over the Internet, original shape of signature [X, Y] can be recovered. To make the system easy to implement, the client side does nothing complex except posting X+Yto the server. The server side preprocesses the sequence and saves it to database during enrollment or match it against the claimed template during verification. The matching technique adopted here is the similarity measure ER2. Simulation results show that the mouse based verification system is reliable and secure for internet applications.

Paper Details

Date Published: 23 February 2005
PDF: 8 pages
Proc. SPIE 5673, Applications of Neural Networks and Machine Learning in Image Processing IX, (23 February 2005); doi: 10.1117/12.585891
Show Author Affiliations
Hansheng Lei, Univ. at Buffalo (United States)
Srinivas Palla, Univ. at Buffalo (United States)
Venu Govindaraju, Univ. at Buffalo (United States)


Published in SPIE Proceedings Vol. 5673:
Applications of Neural Networks and Machine Learning in Image Processing IX
Nasser M. Nasrabadi; Syed A. Rizvi, Editor(s)

© SPIE. Terms of Use
Back to Top