Security Handwritten Documents Using Inner Product
Recently, it is common to find document forgery both in the private and government agencies. This research was conducted with the aim of designing a software system that can recognize hand writing by using computer technology from the digitization process of a written form. The method applied in this study consisted of several stages, namely the writing stage analog to digital conversion, pre processing, segmentation, feature extraction writing and calculating the percentage of similarity algorithms written by Inner product. From the results of this study, it is expected that the system is able to recognize any handwriting owners of various writing forms, as well as to take into account the percentage of similarity to one another. This system can also be used to protect the owner against counterfeiting handwriting, as an authenticity tool for any form of writing in important documents.