KEYWORDS: Binary data, FDA class I medical device development, Distance measurement, Bioinformatics, Scientific research, Computer science, Speech recognition, Visual analytics, Visualization, Data analysis
A novel kernel, named R2-kernel, is presented for efficient sequence classification based on the Support Vector
Machine (SVM). As an intuitive similarity measure, R2 naturally introduces a stop technique in multi-class
SVM evaluation, that is, when there exist K support vectors from class i that has similarity beyond a certain
threshold with testing sequence X, we can assign sequence X to class i directly and stop the SVM evaluation. The
stop technique is seamless integrated into multi-class SVM to improve its evaluation efficiency without negative
impact on the performance. Experimental results confirmed the efficiency of the stop technique introduced by
the R2-kernel.
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.
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