Algorithm analysis development of handwriting
DOI:
https://doi.org/10.15587/2312-8372.2014.31877Keywords:
handwriting, online method, offline method, handwriting recognition, IRCAbstract
Two algorithms that allow to recognize handwriting are shown in the article. These approaches are considered the most relevant off-line recognition, which is based on the handwriting recognition from scan image of profiles, agreements, statements and other documents. Development is done to promote recognition not only in document flow, but also in the field of artificial intelligence that surrounds subsequently able to analyze a human-written text. It was found that both the description algorithm can give us positive feedback for recognition. With the result of more than 90 % of the work on pattern recognition, at least one of the approaches will be fully achieved its investigation aim and will only improve the knowledge base, which is then able to provide for artificial intelligence an opportunity to learn through books and letters improving the percentage of recognition.References
- Bangyal, W. H., Ahmad, J., Abbas, Q. (2013). Recognition of Off-line Isolated Handwritten Character Using Counter Propagation Network. International Journal of Engineering and Technology, Vol. 5 (2), 227–230. doi:10.7763/ijet.2013.v5.548
- ABBYY FlexiCapture 10. Rukovodstvo sistemnogo administratora. (2011). Abbyy. Available: ftp://ftp.abbyy.com/TechSupport/FC10_Guides/FlexiCapture%2010%20Admin%20Guide_RU.pdf. Last accessed 16.11.2014.
- ABBYY FlexiCapture. Sistema potokovogo vvoda dannyh. Sozdanie mashinochitaemyh form. (2011). Abbyy. Available: ftp://ftp.abbyy.com/TechSupport/FC10_Guides/FlexiCapture%2010%20Form%20Creation%20Guide_RU.pdf. Last accessed 16.11.2014.
- Optical Character Recognition. Available: http://www.unicode.org/charts/PDF/U2440.pdf. Last accessed 16.11.2014.
- History of Pen and Gesture Computing: Annotated Bibliography in On-line Character Recognition, Pen Computing, Gesture User Interfaces and Tablet and Touch Computers. Available: http://rwservices.no-ip.info:81/pens/biblio85.html#CIC85. Last accessed 16.11.2014.
- Raspoznavanie rukopisnogo teksta. (2014). Abbyy. Available: http://kb.abbyy.ru/article/1099. Last accessed 16.11.2014.
- Type in many languages with Input Tools. Available: https://support.google.com/mail/answer/139576?hl=en. Last accessed 16.11.2014.
- Annotated Bibliography in On-line Character Recognition, Pen Computing, Gesture User Interfaces and Tablet and Touch Computers. Available: http://users.erols.com/rwservices/biblio.html. Last accessed 16.11.2014.
- Metody rozpiznavannia tekstu. Vikipediia. Available: https://uk.wikipedia.org/wiki/Методи_розпізнавання_тексту. Last accessed 16.11.2014.
- Handwriting recognition. Wikipedia. Available: https://en.wikipedia.org/wiki/Handwriting_recognition#Off-line_recognition. Last accessed 16.11.2014.
- ABBYY FineReader 12. Yazyki raspoznavaniia. (2011). Abbyy. Available: http://www.abbyy.ru/support/finereader/12/rl/. Last accessed 16.11.2014.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2016 Олексій Олексійович Зарубенко
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.