Title :
Online signature recognition
Author :
Toker, K.G. ; Kucuk, Sefa ; Catalbas, M.C.
Author_Institution :
Elektr. ve Elektron. Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey
Abstract :
In this paper, online signature recognition is examined by using K Nearest Neighborhood (KNN) method. The signatures are collected by an Android application which can extract the dynamic and spatial information of the signatures. In this frame, a signature database is consisting of a total of 120 signatures taken from 12 different person. The purpose of this paper, is to obtain high performance with a few training signatures. Also, the performance of signature recognition is investigated by different distance measurement methods in K Nearest Neighborhood.
Keywords :
Android (operating system); distance measurement; feature extraction; image recognition; Android application; K nearest neighborhood method; KNN method; distance measurement; dynamic information; information extraction; online signature recognition; signature database; spatial information; training signatures; Androids; Business; Conferences; Humanoid robots; Mutual information; Pattern recognition; Signal processing; K-nearest neighbor; feature extraction; online signature recognition; signature recognition;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830589
