Signature recognition is a relevant area in secure applications referred to as biometric
identification. The image of the signature to be recognized (in off-line systems) can be …

Visual interpretation of sign language gesture can be useful in accomplishing natural human
robot interaction. This paper describes a sign language gesture based recognition …

A study is presented into the importance of two commonly overlooked factors influencing
generalisation ability in the field of hidden Markov model (HMM) based recogniser training …

In this paper is presented an automatic deaf language to text system. The scheme is based
on support vector machines (SVM) classifier using a Gaussian kernel. The input parameter …

In this paper is presented an automatic deaf language to number recognition system. Sign
language number recognition system lays down foundation for hand shape recognition …

In this paper is presented an automatic deaf language to text translation and recognition
system. The scheme is based on neural network (NN) classifier using a back propagation …

We present a robust off-line method recognizing handwritten digits by only using stroke
direction codes as a feature of handwritten digits. This method makes general 8-direction …

We propose a new scheme for object recognition in robot vision. The proposed scheme
uses the HSI model as the input. A gradient algorithm is used to obtain the edge estimation …

Standard Hidden Markov Models (HMM) have proved to be a very useful tool for temporal
sequence pattern recognition, although they present a poor discriminative power. On the …

The field of handwriting recognition has been researched for many years. A hybrid classifier
has been proven to be able to increase the recognition rate compared with a single …