This paper addresses a very challenging topic in on-line handwriting recognition. It deals with the problem how to further improve a baseline very large vocabulary HMM-based handwriting recognition system with a vocabulary size of 200.000 German words. The use of sophisticated HMM-technology allows the construction of such a baseline system. It is however an extremely difficult task to further ...

New challenges in computer applications such as web searching, multimedia data retrieval, data mining, face recognition and handwriting recognition has attracted many researchers. Handwriting identification is one of the important research topics in the area of Pattern recognition and image processing. Many methods have been reported for identification of writer

The ultimate aim of handwriting recognition is to make computers able to read and/or authenticate human written texts, with a performance comparable to or even better than that of humans. Reading means that the computer is given a piece of handwriting and it provides the electronic transcription of that (e.g. in ASCII format). Two types of handwriting: on-line and offline. The most important pu...

Several important factors, such as recognition accuracy, user acceptance, and system usability, have to be considered in designing an interface of a handwriting recognition system. Since both users and recognition algorithms make mistakes, it is desirable for the user interface of a handwriting recognition system to have mechanisms recovering from errors. In this paper we address the problem of...

In automatic recognition of unrestricted handwriting the ambiguities can be solved by top-down processing. However, automatic systems never have access to the extended background knowledge available to human readers. In order to replace this higher-level information we need to improve the reliability of the bottom-up processing. A handwriting-recognition system can be split up into six discrete...

In this article, methods for user recognition by online handwriting are experimentally analyzed using a combination of demographic data of users in relation to their handwriting habits. Online handwriting as a biometric method is characterized by having high variations of characteristics that influences the reliance and security of this method. These variations have not been researched in detai...

This report discusses several general aspects of text localisation and handwriting recognition. In particular, we consider their applications to extraction and recognition of numerals written on Giro forms. For text localisation, we investigate the problem of extracting text printed or written inside boxes on forms. We review a number of representative methods for solving this problem, describe...

OFFLINE handwriting recognition is the task of determining what letters or words are present in a digital image of handwritten text. It is of significant benefit to man-machine communication and can assist in the automatic processing of handwritten documents. It is a subtask of Optical Character Recognition (OCR), whose domain can be machine-print or handwriting but is more commonly machine-pri...