Character recognition by time-frequency analysis using writing pressure
| Autor: | Tatsuhito Watanabe, Seiichiro Katsura |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Computer Networks and Communications
Intelligent character recognition Computer science business.industry Applied Mathematics Speech recognition General Physics and Astronomy computer.software_genre Signature (logic) Time–frequency analysis Domain (software engineering) Identification (information) Handwriting Signal Processing Artificial intelligence Electrical and Electronic Engineering business computer Personally identifiable information Natural language processing Haptic technology |
| Zdroj: | Electronics and Communications in Japan. 94:32-40 |
| ISSN: | 1942-9533 |
| DOI: | 10.1002/ecj.10376 |
| Popis: | With the development of information and communication technology, personal verification becomes more and more important. In the future ubiquitous society, the development of terminals handling personal information will require personal verification technology. The signature is one of the personal verification methods; however, the number of characters is limited in the case of the signature and therefore false signatures are easily used. Thus, personal identification from handwriting is difficult. This paper proposes a “haptic pen” that extracts the writing pressure, and shows a character recognition method based on time–frequency analyses. Although the figures of characters written by different writers are similar, the differences appear in the time–frequency domain. As a result, it is possible to use the proposed character recognition for personal identification more exactly. Experimental results show the viability of the proposed method. © 2011 Wiley Periodicals, Inc. Electron Comm Jpn, 94(11): 32–40, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.10376 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|