This paper presents an efficient handwritten digit recognition system based on support
vector machines (SVM). A novel feature set based on transition information in the vertical …

Among the basic cognitive skills of the biological brain in humans and other mammals, a
fundamental one is the ability to recognize inexact patterns in a sequence of objects or …

In this paper, we address the Bayesian classification with incomplete data. The common
approach in the literature is to simply ignore the samples with missing values or impute …

This paper proposes a recognition system for handling Arabic literal amounts based on
three proposed strategies. First, an enhanced feature extraction model based on the part of …

A new hybrid system of off-line analytical recognition of Arabic handwriting combining a
neural network type multi-layer perceptron (MLP) and hidden Markov models (HMM) is …

In handwritten Arabic word recognition, the segmentation is a vital and crucial phase, and
has a great impact in the accuracy of the subsequent recognition phase. We propose in this …

The environmental and telegraph noise may be beneficial in the cognitive systems. In this
paper, we will study a class of nonlinear system with Markovian switching, whose …

Offline handwritten Uighur scripts is cursive and have a large vocabulary, which makes the
word recognition more complicated. In this paper, we propose a segmentation-driven …

The aim of this paper is to use some feature extraction methods for the recognition of
handwriting digits. The paper presents a hybrid approach based on the Multi Layer …