CHARACTER SEGMENTATION USING SPEED VALUE AND ACCELERATION ON RECOGNITION HANDWRITING TECHNIQUE
Nuryuliani Nuryuliani, Lulu Chaerani Munggaran, Suryarini Widodo · Jurnal Ilmiah Informatika Komputer · 2009
Nowadays, handwriting recognition has been widely used for analyzing signature, reading address as well as changing text to hypertext. Common steps in handwriting recognition system consist of pre-processing, segmentation, feature extraction, classification and post-processing. This research describes segmentation methods for handwriting character which acquired using online device. Characters used in this research are 19 latin alphabets. In the first step, pre-processing is taken place by removing noise manually. The next step is calculating the speed of writing. The acquired speed value is further used to calculate acceleration by applying low-passfilter. As shown in the figure, it is found that there are many peak change has been identified so that low-pass filter is also used to reduce the number of segment. Too many segments may increase the difficulties of the next process. This research employs 4 segmentation methods, such as Positive Negative Acceleration, Positive Positive Acceleration, Negative Positive Acceleration and Minimum Speed. From the experiments, it is identified that by applying minimum speed, character segmentation can be perform quite well Keyword(s): Segmentation, Character, Speed, Acceleration, Low-pass Filter. Subject Description: I.4 Image Processing and Computer Vision | I.4.6 Segmentation | Edge and feature detection