This study aims at building an efficient word recognition system resulting from the
combination of three handwriting recognizers. The main component of this combined system …

Digitizing handwriting is mostly performed using either image-based methods, such as
optical character recognition, or utilizing two or more devices, such as a special stylus and a …

This paper presents a holistic off-line handwriting recognition system based on extraction of
directional features which depends on the stroke orientation distribution of cursive word …

Bank cheques (checks) are still widely used all over the world for financial transactions.
Huge volumes of handwritten bank cheques are processed manually every day in …

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 …

In the US and many other countries, bank checks are preprinted with the account number
and the check number in special ink and format; as such, these two numeric fields can be …

Most of the methods on handwritten recognition in the literature are focused and evaluated
on Black and White (BW) image databases. In this paper we try to answer a fundamental …

Most online handwriting recognition systems require the use of specific writing surfaces to
extract positional data. In this paper we present a online handwriting recognition system for …

In this paper, an off-line method, based on hidden Markov model, HMM, is used for holistic
recognition of handwritten words of a limited vocabulary. Three feature sets based on image …

Problem statement: Handwriting number recognition is a challenging problem researchers
had been research into this area for so long especially in the recent years. In our study there …