This thesis explores a number of different techniques for use in the field of Arabic Handwriting Recognition. A review of previous work in the field is conducted, and then various techniques are explored in the context of classifying town names from the IFN/ENIT database. A baseline-finding algorithm using Principal Components Analysis is implemented, and the change in performance from reducing...

Handwriting--one of the most important developments in human culture--is also a methodological tool in several scientific disciplines, most importantly handwriting recognition methods, graphology and medical diagnostics. Previous studies have relied largely on the analyses of handwritten traces or kinematic analysis of handwriting; whereas electromyographic (EMG) signals associated with handwri...

Offline handwritten segmentation in Bangla is an interesting area of research as Segmentation has long been one of the most critical areas of optical character recognition process. Through this operation, an image of a sequence of characters, which may be connected in some cases, is decomposed into sub-images of individual alphabetic symbols. In this paper, segmentation of cursive handwritten s...

Handwriting experience can have significant effects on the ability of young children to recognize letters. Why handwriting has this facilitative effect and how this is accomplished were explored in a series of studies using overt behavioral measures and functional neuroimaging of the brain in 4to 5-year-old children. My colleagues and I showed that early handwriting practice affects visual symb...

In this paper, we present an approach for characterizing the on-line cursive handwriting of different writers, which may consist in identifying the writer or his handwriting style. This method is inspired from information retrieval methods and is designed to be embedded in an adaptive word recognizer. We perform experiments assessing the effectiveness of the proposed method for writer identific...

The emergence of pen-based mobile devices such as PDAs and tablet PCs provides a new way to input mathematical expressions to computer by using handwriting which is much more natural and efficient for entering mathematics. This paper proposes a web-based handwriting mathematics system, called WebMath, for supporting mathematical problem solving. The proposed WebMath system is based on client-se...

The purpose of this paper is to present a Dynamic Time Warping technique which reduces significantly the data processing time and memory size of multi-dimensional time series sampled by the biometric smart pen device BiSP. The acquisition device is a novel ballpoint pen equipped with a diversity of sensors for monitoring the kinematics and dynamics of handwriting movement. The DTW algorithm has...

Handwriting is one of the most natural ways for a human to record knowledge. Recently, this type of human-computer interaction has received increasing attention due to the rapid evolution of touch-based hardware and software. While hardware support for digital ink reached its maturity, algorithms for recognition of handwriting in certain domains, including mathematics, are lacking robustness. S...

Chinese handwriting identification has become a hot research in pattern recognition and image processing. In this paper, we present overview of relevant papers from the previous related studies until to the recent publications regarding to the Chinese Handwriting Identification. The strength, weaknesses, accurateness and comparison of well known approaches are reviewed, summarized and documente...

In this paper we discuss recent development of handwriting recognition (HWR). In particular, the transition from pure handwriting recognition to understanding of the handwritten notes is described. Therefore we first summarize the state-of-the-art in HWR. Next, two recent approaches in order to improve HWR and extracting knowledge are described. Experimental results on various data are reported...