Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Hiroaki Sakoe"'
Publikováno v:
Frontiers of Computer Science. 8:773-784
For stroke-order free online multi-stroke character recognition, stroke-to-stroke correspondence search between an input pattern and a reference pattern plays an important role to deal with the stroke-order variation. Although various methods of stro
Publikováno v:
Pattern Recognition. 41:1230-1240
Text recognition captured in multiple frames by a hand-held video camera is a challenging task because it is possible to capture and recognize a longer line of text while improving the quality of the text image by utilizing the redundancy of the over
Autor:
Hiroaki Sakoe, Akihiro Mori, Ryo Kurazume, Seiichi Uchida, Rin-ichiro Taniguchi, Tsutomu Hasegawa
Publikováno v:
Journal of the Robotics Society of Japan. 24:954-963
This paper concerns three topics for realizing embodied“proactive”human interface, where a humanoid is used as an interface capable of making some reaction against to user's gesture input in advance to the termination of the gesture. The first to
Autor:
Seiichi Uchida, Hiroaki Sakoe
Publikováno v:
Systems and Computers in Japan. 36:13-22
Autor:
Hiroaki Sakoe, Seiichi Uchida
Publikováno v:
Pattern Recognition. 36:2031-2040
Deformations in handwritten characters have category-dependent tendencies. In this paper, the estimation and the utilization of such tendencies called eigen-deformations are investigated for the better performance of elastic matching based handwritte
Autor:
Shinya Takahashi, Hiroaki Sakoe
Publikováno v:
Systems and Computers in Japan. 31:84-93
Toward Forensics by Stroke Order Variation — Performance Evaluation of Stroke Correspondence Methods
Publikováno v:
Computational Forensics ISBN: 9783642193750
ICWF
ICWF
We consider personal identification using stroke order variations of online handwritten character patterns, which are written on, e.g., electric tablets. To extract the stroke order variation of an input character pattern, it is necessary to establis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16a5d4b730ecf3eb7151309a710fc9a
https://doi.org/10.1007/978-3-642-19376-7_4
https://doi.org/10.1007/978-3-642-19376-7_4
Publikováno v:
ICDAR
A stochastic model of stroke order variation is proposed and applied to the stroke-order free on-line Kanji character recognition.The proposed model is a hidden Markov model (HMM) with a special topology to represent all stroke order variations. A se
Publikováno v:
ICPR
Scopus-Elsevier
Scopus-Elsevier
A new hidden Markov model (HMM) is proposed for on-line character recognition using two typical features, pen-direction feature and pen-coordinate feature. These two features are quite different in their stationarity; pen-direction feature is station
Publikováno v:
ICDAR
For on-line character recognition, predictive DP matching is proposed where two physically different features, coordinate features and directional features, are handled in a unified manner. For this unification, the distance of the directional featur