Optical Character Recognition (OCR) has been a topic of interest for many years. It is
defined as the process of digitizing a document image into its constituent characters. Despite …

This paper proposes a global multi-level thresholding method for image segmentation. As a
criterion for this, the traditional method uses the Shannon entropy, originated from …

Multilevel image thresholding is a very important image processing technique that is used as
a basis for image segmentation and further higher level processing. However, the required …

This paper proposes a novel method of Particle Swarm Optimization, called Golden Ratio
Particle Swarm Optimization (GRPSO), based on Golden Ratio found in nature. GRPSO is …

Foreground-Background Separation by Feed-forward Neural Networks in Old Manuscripts Page
1 Informatica 38 (2014) 329–338 329 Foreground-Background Separation by Feed-forward …

Thresholding is an important approach for image segmentation and it is the first step in the
image processing for many applications. Segmentation is a low level operation that can …

In this article, we introduce a novel technique to remove binary artifacts. Given a gray-
intensity image and its corresponding binary image, our method detects and remove …

The selection of optimal thresholds is still a challenging task for researchers in case of
multilevel thresholding. Many swarm and evolutionary computation techniques have been …

This paper proposes a multilevel thresholding technique for image segmentation, using an
image enhancing technique and an improvised algorithm called Half-life Constant Particle …

In this paper, we propose a mechanism for systematic comparison of the efficacy of
unsupervised evaluation methods for parameter selection of binarization algorithms in …