In this paper, we present a review of the state of the art in the current classification
techniques used in the optical character recognition of the Arabic script (AOCR). We …

This paper describes the application of structural features to the statistical recognition of
handwritten characters. It has been demonstrated that a complete description of the …

In recent times, the way people access information from the web has undergone a
transformation. The demand for information to be accessible from anywhere, anytime, has …

Recognition systems based on a combination of different experts have been widely
investigated in the recent past. General criteria for improving the performance of such …

Multiple expert decision combination has received much attention in recent years. This is a
multi-disciplinary branch of pattern recognition which has extensive applications in …

We introduce a novel multiple classifier system that incorporates a global optimization
technique based on a genetic algorithm for configuring the system. The system adopts the …

In recent years, combination of multiple experts has become a major area of interest in
designing practical and robust handwritten character recognition systems. Instead of …

Web documents usually have complicated layouts and the overall information content can
be huge. All these documents are designed for viewing in large screen devices, such as a …

In recent times, the way people access information from the web has undergone a
transformation. The demand for information to be accessible from anywhere, anytime, has …

In the field of handwriting recognition, classifier combination received much more interest
than the study of powerful individual classifiers. This is mainly due to the enormous …