Jin-Whan Kim's scientific contributions
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Publications (3)
We propose a new enhanced graphical user interface and algorithm for dynamic signature verification using Smart-phone. Also, we describe the performance results of our dynamic signature verification system, which determine the authentication of signatures by comparing and analyzing various dynamic data shape of the signature, writing speed, slant o...
This paper deals with a modified method of the dynamic time warping and feature points to extract various important information of the signature for the dynamic signature verification. We could achieve lower equal error rate, small and efficient feature points and fast processing time for the notification.
This paper is a research on the dynamic signature verification of error rate which are false rejection rate and false acceptance rate, the size of signature verification engine, the size of the characteristic vectors of a signature, the ability to distinguish similar signatures, the processing speed and so on. Also, we present our efficient user in...
Citations
... The Majority Classifier (MC) accepts a test signature as a genuine one if the number of feature values which pass a predetermined test is larger than half the total number of tested features. Function-based approach treats the signing process as a set of one-dimensional discrete time functions and performs the matching process based on an elastic measure such as DTW [7,9,14,15,17,18,31,36,44,45,51,54,67,71,72,79,81,84,85,86,93,96,98,99,101,104,106,112,122,124,126,129,140,142,143,146,163,167,200,221,222] or HMM [2,5,21,29,30,32,58,61,73,128,131,132,135,149,155,157,168,175,187,192,203,207,216,218,223,224,225]. DTW performs flexible matching of local features of two signatures. ...
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