Paper
17 March 2017 Android application for handwriting segmentation using PerTOHS theory
Author Affiliations +
Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103410F (2017) https://doi.org/10.1117/12.2269059
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
Abstract
The paper handles the problem of segmentation of handwriting on mobile devices. Many applications have been developed in order to facilitate the recognition of handwriting and to skip the limited numbers of keys in keyboards and try to introduce a space of drawing for writing instead of using keyboards. In this one, we will present a mobile theory for the segmentation of for handwriting uses PerTOHS theory, Perceptual Theory of On line Handwriting Segmentation, where handwriting is defined as a sequence of elementary and perceptual codes. In fact, the theory analyzes the written script and tries to learn the handwriting visual codes features in order to generate new ones via the generated perceptual sequences. To get this classification we try to apply the Beta-elliptic model, fuzzy detector and also genetic algorithms in order to get the EPCs (Elementary Perceptual Codes) and GPCs (Global Perceptual Codes) that composed the script. So, we will present our Android application M-PerTOHS for segmentation of handwriting.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hanen Akouaydi, Sourour Njah, and Adel M. Alimi "Android application for handwriting segmentation using PerTOHS theory", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410F (17 March 2017); https://doi.org/10.1117/12.2269059
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Genetic algorithms

Fuzzy logic

Cell phones

MATLAB

Detection and tracking algorithms

Image segmentation

Mobile devices

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