نتایج جستجو برای: handwriting recognition
تعداد نتایج: 253443 فیلتر نتایج به سال:
Supporting programming on touchscreen devices requires effective text input and editing methods. Unfortunately, the virtual keyboard can be inefficient and uses valuable screen space on already small devices. Recent advances in stylus input make handwriting a potentially viable text input solution for programming on touchscreen devices. The primary barrier, however, is that handwriting recognit...
در این پایان نامه، ضمن بررسی تاریخچه و تعدادی از روش های متداول تشخیص برخط حروف و کلمات، یک سیستم تشخیص برخط کلمات فارسی، طراحی و پیاده سازی شده است. ورودی این سیستم توسط قلم نوری دریافت می شود. اخیراً بعلت فراگیر شدن دستگاه های کامپیوتر جیبی و تلفن های همراه پیشرفته، اهمیت چنین سیستمی، بیش از پیش مورد توجه قرار گرفته است. در روش پیشنهادی ما، عمل شناسایی دستنوشته، از طریق جستجوی پرتو انجام می شو...
On-line handwriting includes more information on the time order of the writing signal and on the dynamics of the writing process than off-line handwriting. Therefore, on-line recognition systems achieve higher recognition rates. This can be concluded from results reported in the literature, and has been demonstrated empirically as part of this work. We propose a new approach for recovering the ...
Handwriting Recognition Technology, Children, and the Writing Process, PhD thesis, Janet C Read ii Handwriting Recognition Technology, Children, and the Writing Process Janet C Read Department of Computing University of Central Lancashire Preston [email protected] Abstract The research reported here investigates the match between child, technology and task in the scenario of children using han...
Human-based computation is an approach that utilizes the abilities and strengths of both humans and computers to achieve a symbiotic interaction that is stronger than either agent in isolation. We propose a system that amplifies the capacity of a human indexer by adding an intelligent handwriting recognition engine to the indexing process. This recognition engine will learn patterns in handwrit...
One of the most promising methods of interacting with small portable computing devices such as personal digital assistants is the use of handwriting. However, for data acquisition touch sensitive pads, which are limited in size, and special pens are required. In order to render this communication method more natural Munich & Perona 11] proposed to visually observe the writing process on ordinar...
In recent years, it has been shown that multidimensional recurrent neural networks (MDRNN) perform very well in offline handwriting recognition problems like the OpenHaRT 2013 Document Image Recognition (DIR) task. With suitable writing preprocessing and dictionary lookup, our ARGUS software completed this task with an error rate of 26.27% in its primary setup. Keywords—handwriting recognition,...
In this paper, we briefly descibe an XML representation for annotation of online handwriting data to support the development and evaluation of handwriting recognition algorithms, that is based on the emerging Digital Ink Markup Language (InkML) draft standard from W3C. In particular, we describe how the XML representation we have defined attempts to address issues of (i) support for different s...
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