The SVM is a new classification technique in the field of statistical learning theory which has
been applied with success in pattern recognition applications like face and speaker …

Considerable progress has been made in handwriting recognition technology over the last
few years. Thus far, handwriting recognition systems have been limited to small and medium …

The performance of Hidden Markov Models (HMMs) targeted for complex real-world
applications are often degraded because they are designed a priori using limited training …

The objective of this work is to present an off-line signature verification system. It is basically
divided into three parts. The first one describes a pre-processing process, a segmentation …

Handwritten word recognition is undoubtedly a challenging task due to various writing styles
of individuals. So, lots of efforts are put to recognize handwritten words using efficient …

This paper presents a novel approach for the verification of the word hypotheses generated
by a large vocabulary, offline handwritten word recognition system. Given a word image, the …

We propose an HMM-based approach for off-line signature verification. One of the novelty
aspects of our method lies in the ability to dynamically and automatically derive the various …

The main objective is to present an off-line signature verification system. It is basically
divided into three parts. The first demonstrates a pre-processing process, a segmentation …

In this paper we introduce a stroke based lexicon reduction technique in order to reduce the
search space for recognition of handwritten words. The principle of this technique involves …

We present a hybrid recognition system that integrates hidden Markov models (HMM) with
neural networks (NN) in a probabilistic framework. The input data is processed first by a …