Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

Since their first inception more than half a century ago, automatic reading systems have
evolved substantially, thereby showing impressive performance on machine-printed text …

In this paper a methodology for feature selection in unsupervised learning is proposed. It
makes use of a multiobjective genetic algorithm where the minimization of the number of …

Bank Cheques are used mainly for financial transactions due to which they are processed in
enormous amounts on daily basis around the globe. Often, Cheque execution time and …

This paper presents an HMM-MLP hybrid system for segmenting and recognizing complex
date images written on Brazilian bank checks. Through the recognition process, the system …

This paper proposes a holistic lexicon-reduction method for ancient and modern handwritten
Arabic documents. The word shape is represented by the weighted topological signature …

The study of handwritten words is tied to the development of recognition methods to be used
in real-world applications involving handwritten words, such as bank checks, postal …

In this paper a word recognition and verification scheme based on HMMs is presented.
However, the main contribution of the current work lies in the validation of such a strategy. In …

In this article, two different strategies are proposed for numerical field extraction in weakly
constrained handwritten documents. The first extends classical handwriting recognition …

This article presents a partial matching approach based on set exclusion criteria applied to
livestock brand retrieval. A set exclusion measure function, depending on local shape …