The Implementation of Shape Based Feature Extraction and Similarity Measures to Prevent Falsification of Handwritten Document

by Dian Pratiwia,Syaifudina


Date Published: 01 Nov 2015
Published In: Information Systems International Conference (ISICO)
Volume: 2015
Publisher: Departemen Sistem Informasi, Institut Teknologi Sepuluh Nopember
Language: id-ID

Keywords: feature extraction,Handwriting,Document Security,Similarity Measures,Segmentation

Abstract

Document security in present is one of important thing because many crimes against the falsification of documents is growing anyway. This research was conducted with the aim of designing a software system that can recognize handwriting of the owner of the document through the characteristics of shape, so that the falsification of documents can be prevented. The method applied in this study consisted of writing stage analog to digital conversion, pre- processing, segmentation into the size of 500x200 pixels and 10 grids, feature extraction stage, and the percentage calculation of similarity through the similarity measures method. From the research that has been conducted on 20 documents of 4 owners handwriting, 11 documents identified the owner managed appropriately through matching the features of the 12 words in each document, namely “The”, “You”, “Will”, “ To”, “He”, “And”, “It”, “Is”, “Are”, “His”, “Have”, “For”. So that the percentage of success obtained against the document security system that is equal to 55%. The percentage is still possible can be increased by adding more number of document and mapping features with better methods again


© 2023 Open Access Journal of Information Systems (OAJIS) | created by : radityo p.w (http://about.me/radityopw) and rully a.h (eraha99 [at] gmail.com)