In this work a script independent handwriting recognition system is proposed which is derived from the RWTH-ASR hidden Markov model (HMM) based speech recognizer. Most problems occurring in handwriting recognition (HWR) are induced by large variations within the written text. In particular, different handwriting styles such as cursive writing or long drawn-out strokes are difficult to model. Co...

Computers are greatly influencing the lives of human beings and their usage is increasing at a tremendous rate. The ease with which we can exchange information between user and computer is of immense importance today because input devices such as keyboard and mouse have limitations vis-à-vis input through natural handwriting. We can use the online handwriting recognition process for a quick and...

Received Jan 11, 2017 Revised Apr 7, 2017 Accepted Jun 11, 2017 Offline cursive handwriting becomes a major challenge due to the huge amount of handwriting varieties such as slant handwriting, space between words, the size and direction of the letter, the style of writing the letter and handwriting with contour similarity on some letters. There are some steps for recursive handwriting recogniti...

This is an overview of the most recent published approaches to solving the handwriting recognition problem. This paper is aimed at clarifying the role of handwriting recognition in accordance with today's maturing technologies. It tries to list and clarify the components that build handwriting recognition and related technologies such as OCR (Optical Character Recognition) and Signature Veriica...

Handwriting recognition is a challenging task for many real-world applications such as document authentication, form processing, historical documents. This paper focuses on the comparative study on off-line handwriting recognition system and Printed Characters by taking Arabic handwriting. The off-line Handwriting Recognition methods for Arabic words which being often used among then across the...

This paper discusses the application of the perturbation method to handwriting recognition. First the standard pattern recognition operations of preprocessing, feature extraction, and classification are reviewed. Then we introduce the perturbation method as a new approach to overcoming the problems that result from the sequential architecture traditionally found in pattern recognition systems. ...

We are interested in achieving the best possible recognition rates for hand-written mathematics. This problem has challenges that go beyond the usual natural language handwriting recognition: multiple alphabets are used, the number of single-stroke and few-stroke symbols numbers in the hundreds, writers form symbols from some of the alphabets in idiosyncratic non-standard manners, layout is two...

Usually we assume large amount of data for writer identification, what if only little data is available, e.g., 1 page, 1 paragraph, or even 1 line? Several reasonable assumptions in forensics: • The writers are no longer available. • The writers might not be collaborative. The question is then: what can we do in this situation? • Use of synthetic data has been studies in fields like: signature ...