RAV (reparameterized angle variations) algorithm for online handwriting recognition

Autor:	Takashi Matsumoto, Miyamoto Osamu, Yoshimitsu Komiya, Kobayashi Mitsuru, Shinya Masaki, Youitch Nakagawa
Rok vydání:	2001
Předmět:	Robustness (computer science) Computer science Handwriting recognition Computer Vision and Pattern Recognition Algorithm Software Character recognition ComputingMethodologies_COMPUTERGRAPHICS Computer Science Applications
Zdroj:	International Journal on Document Analysis and Recognition. 3:181-191
ISSN:	1433-2833
DOI:	10.1007/pl00013560
Popis:	A new algorithm RAV (reparameterized angle variations) is proposed which makes explicit use of trajectory information where the time evolution of the pen coordinates plays a crucial role. The algorithm is robust against stroke connections/abbreviations as well as shape distortions, while maintaining reasonable robustness against stroke-order variations. Preliminary experiments are reported on tests against the Kuchibue_d-96-02 database from the Tokyo University of Agriculture and Technology.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4ea72d2c4d153056674b930586252b23 https://doi.org/10.1007/pl00013560 Zobrazit plný text záznamu Full text from SpringerLink