APPLIANCE OF OPEN SOURCE SOLUTION IN PERSON IDENTIFICATION THROUGH HANDWRITING

Abstract

Research in the area of handwriting authentication is growing since the devices with touch screen and stylus move to mass production. This paper explores achievements in this area with a focus on signature authentication. An off-line signature verification system which has been modified so that is able to use files with images of signatures for training and verification is presented. The system was tested on the original signatures, random and trained forgeries to examine what percentage of errors is given in any case and the results were very good. The paper provides a complete system with an intuitive graphical interface designed to verify the signature, which is one of the few if not the only one with open source, and is therefore open to further improvement and adaptation for specific systems. The system uses Dynamic Time Warping algorithm in combination with ER2 . System could be used in many situations since the signature is the most commonly used way of verification. The advantage of off-line system is that it does not require any specific input device, so they are ideal for verification from home.