Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Eiki Ishidera"'
Publikováno v:
International Journal on Document Analysis and Recognition. 6:263-270
This paper describes a method for estimating a confidence value (CV) by which we can express the potential correctness of handwritten Kanji character recognition candidates. An accumulated confidence value (ACV), calculated as the sum of CVs, is also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::006facf2f00c9f74b4700876b034a32c
https://doi.org/10.1007/s10032-003-0118-8
https://doi.org/10.1007/s10032-003-0118-8
Autor:
Hiroyuki Arai, Shouishi Kurita, Masahiko Tsuchiya, Eiki Ishidera, Shinichi Takahashi, Hiroko Miyauti
Publikováno v:
Systems and Computers in Japan. 25:28-37
The human visual system has the ability to recognize a virtual line even for a discrete object such as a dot pattern. Even if there is no difference in color or brightness, a clear subjective contour can still be perceived. This phenomenon can be for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8119e4207022887470415741439f440
https://doi.org/10.1002/scj.4690250504
https://doi.org/10.1002/scj.4690250504
Publikováno v:
APCCAS
The algorithm presented is a very efficient and robust object tracking algorithm based on particle filter. The aim is to deal with noisy and bad resolution video surveillance cameras. The main feature used in this method is multi-candidate object det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1ab56f6bd70af04bc65d99ea3188272
https://doi.org/10.1109/apccas.2010.5774996
https://doi.org/10.1109/apccas.2010.5774996
Publikováno v:
JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN. 74:328-333
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0101d3cdf53484b3f4751b862e671d21
https://doi.org/10.2150/jieij1980.74.6_328
https://doi.org/10.2150/jieij1980.74.6_328
Autor:
D. Nishiwaki, Eiki Ishidera
Publikováno v:
ICDAR
This paper describes a top-down word image generationmodel for holistic handwritten word recognition. To generatea word image, it uses likelihoods based, respectively,on a linguistic model, a segmentation model, and a charactergeneration model. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b1fd83b2bd3b73c87a07d82edcfc2b5
https://doi.org/10.1109/icdar.2003.1227842
https://doi.org/10.1109/icdar.2003.1227842
Publikováno v:
ICDAR
We describe a new handwritten address recognition method which can correct the errors occurring in line extraction, character segmentation, and character recognition as a possible means of avoiding the error accumulation which occurs during the recog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81965e7fb3c1ed571db16250abafab7f
https://doi.org/10.1109/icdar.1997.620663
https://doi.org/10.1109/icdar.1997.620663
Autor:
Atsushi Sato, Eiki Ishidera
Publikováno v:
ICDAR
This paper describes a method for reducing the number of candidates in Kanji character recognition. Such reduction is vital to increasing the speed of such applications as Kanji address recognition. Further, it also reduces the probability of misread
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a091d1eb32564bcf13add619a2998ddb
https://doi.org/10.1109/icdar.2001.953745
https://doi.org/10.1109/icdar.2001.953745
Publikováno v:
International Journal on Document Analysis & Recognition; 2004, Vol. 6 Issue 4, p263-270, 8p
Conference
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