Machine simulation of human reading has been the subject of intensive research for almost
three decades. A large number of research papers and reports have already been published …

This paper is the second part of a review series on the character segmentation techniques.
In this paper, we present an overview on the most important techniques used in segmenting …

Reveals How HMMs Can Be Used as General-Purpose Time Series ModelsImplements all
methods in RHidden Markov Models for Time Series: An Introduction Using R applies …

The finite mixture (FM) model is the most commonly used model for statistical segmentation
of brain magnetic resonance (MR) images because of its simple mathematical form and the …

Image Processing, Analysis and Machine Vision represent an exciting part of modern
cognitive and computer science. Following an explosion of inter est during the Seventies …

This paper presents an overview of feature extraction methods for off-line recognition of
segmented (isolated) characters. Selection of a feature extraction method is probably the …

Character segmentation has long been a critical area of the OCR process. The higher
recognition rates for isolated characters vs. those obtained for words and connected …

In this paper, we introduce a hand gesture recognition system to recognize continuous
gesture before stationary background. The system consists of four modules: a real time hand …

Intensive research has been done on optical character recognition (OCR) and a large
number of articles have been published on this topic during the last few decades. Many …

Methods and systems for providing start and stop properties to Semantic Web structured
resources and statements are disclosed. The start and stop properties can specify a lifetime …