MACHINE LEARNING TECHNIQUES FOR DETECTING FALSE SIGNATURES

MACHINE LEARNING TECHNIQUES FOR DETECTING FALSE SIGNATURES

Blog Article

Deciding whether a handwritten signature is legit or it has been falsified is a very complex task.Several methods have been tried out Transport Wheel by the graphology experts in order to detect such fraud.However, it is obvious that it is very hard to perform such a classification.In this paper we investigate the possibility to use some supervised learning techniques in order to build models capable to accurately perform such an analysis.The results reported during the testing phase of Lid Seal Air Pump the obtained model are encouraging for further work.