期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：21
页码：5654
出版社：Journal of Theoretical and Applied
摘要：Binarization or thresholding is one problem that have to solve in pattern recognition methods and applications. Moreover, it has a very important influence on the sequent steps in computer vision applications such as, Optical Character Recognition (OCR), image segmentation, and tracking objects. Ant colony optimization (ACO) is a population-based metaheuristic which use to solve optimizations problems in diverse fields, such as traffic congestion and control, structural optimization, manufacturing, and genomics are presented. In this work, a combination of ant colony, edge detection, and thresholding methods are combine in order to use in OCR system. The algorithm which is used the DIBCO 2009 in printed and a handwritten image was tested. This method has a compare with Kittler and Illingworth's Minimum Error Thresholding, potential difference, max entropy, Pirahansiahs method and Otsu.
关键词：Ant Colony Optimization (ACO); Peak Signal-To-Noise Ratio (PSNR); Single Thresholding; Image Processing; Image Segmentation; Optical Character Recognition; Computer Vision; Deep Learning.
