Efficiently entering information into a computer is key to enjoying the benefits of computing. This paper describes three intelligent user interfaces: handwriting recognition, adaptive menus, and predictive fillin. In the context of adding a person’s name and address to an electronic organizer, tests show handwriting recognition is slower than typing on an on-screen, soft keyboard, while adapti...

This paper primarily discussed Online Handwriting Recognition methods for Mongolia words which being often used among the Mongolia people in the North China. Because of the characteristic of the whole body of the Mongolia words, namely connectivity between the characters, thereby the segmentation of Mongolia words is very difficult. We introduced a recurrent neural network to online handwriting...

Semi-continuous Hidden Markov Models (SCHMM) with gaussian distributions are often used in continuous speech or handwriting recognition systems. Our paper compares gaussian and tree-structured polynomial classi ers which have been successfully used in pattern recognition since many years. In our system the binary classi er tree is generated by clustering HMM states using an entropy measure. For...

The fundamental representation of handwriting is a quasi-contiguous set of strokes. In offline settings handwriting stroke extraction is complicated by adjacent and overlapping strokes. This paper describes a reconstruction of the stroke information using a newly developed XYTC transform. This representation is very appropriate for handwriting feature extraction, stroke segmentation, underline ...

The clock drawing test (CDT) is a standard neurological test for detection of cognitive impairment. A computerised version of the test promises to improve the accessibility of the test in addition to obtaining more detailed data about the subject’s performance. Automatic handwriting recognition is one of the first stages in the analysis of the computerised test, which produces a set of recogniz...

Arabic is a semitic language characterized by a complex and rich morphology. The exceptional degree of ambiguity in the writing system, the rich morphology, and the highly complex word formation process of roots and patterns all contribute to making computational approaches to Arabic very challenging. As a result, a practical handwriting recognition system should support large vocabulary to pro...

Handwriting is a skill that is personal to individuals. The term “handwriting” is defined to mean as a surface consisting of artificial graphic marks conveying some message through the mark’s conventional relation to language (Plamondon & Srihari, 2000). Handwriting recognition is the task of producing the symbolic form, from the stored information of the handwriting data. Handwriting data is c...

Handwriting in-space from Kinect depth and color information is a challenging task due to the high variability of signature characteristics for different individuals. In this paper, a user-friendly human computer interaction system is proposed and implemented based on Kinect handwriting. The fingertip is firstly tracked by our detection method in every depth frame to generate 3D trajectory of h...

Handwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies. Given its ubiquity in human transactions, machine recognition of handwriting has practical significance. as in reading handwritten notes in a PDA. in postal addresses on envelopes, in amounts in bank checks, in handwrilten fields in forms,...

In the analysis and recognition of handwriting, a useful first task is to assign ground truth for words in the writing. Such an assignment is useful for various subsequent machine learning tasks for performing automatic recognition, writer verification, etc. Since automatic word segmentation and recognition can be error prone, an intermediate approach is to use a text file that is a transcripti...