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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, CNR 2016-02-21
10:30
Fukuoka   Line Segmentation of On-line Handwritten Mathematical Expressions
Shinsuke Sasaki, Anh Duc Le, Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2015-134 CNR2015-35
This paper presents methods of line segmentation for multiple lines of online handwritten mathematical expressions. We p... [more] PRMU2015-134 CNR2015-35
pp.13-18
WIT, SP, ASJ-H, PRMU 2015-06-18
14:00
Niigata   Position-Free On-line Handwritten Text Recognition
Jianjuan Liang, Bilan Zhu (TUAT), Taro Kumagai (Mitsubishi Electric), Masaki Nakagawa (TUAT) PRMU2015-41 SP2015-10 WIT2015-10
The paper presents a method of position-free on-line handwritten text recognition designed to allow a user to overlay ch... [more] PRMU2015-41 SP2015-10 WIT2015-10
pp.53-58
PRMU 2013-03-15
14:45
Tokyo   Segmentation-free MRF Recognition Method in Combination with P2DBMN-MQDF for Online Handwritten Cursive Word
Bilan Zhu (Tokyo Univ. of Agriculture and Tech.), Arti Shivram, Srirangaraj Setlur, Venu Govindaraju (Univ. at Buffalo), Masaki Nakagawa (Tokyo Univ. of Agriculture and Tech.) PRMU2012-216
This paper describes an online handwritten English cursive word recognition method using a segmentation-free Markov rand... [more] PRMU2012-216
pp.213-218
PRMU 2011-03-10
10:00
Ibaraki   A Text Search Method based on Directional Feature Matching
Pasitthideth Luangvilay, Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agr and Tech.) PRMU2010-239
In this paper, we describe a method of retrieving online handwritten text by directional feature matching. Although text... [more] PRMU2010-239
pp.13-17
PRMU 2011-03-10
11:40
Ibaraki   Online Handwritten character recognition by MRF for Lao characters
Latsamy Saysourinhong, Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agric. and Tech.) PRMU2010-245
This paper describes on-line recognition of handwritten Lao characters which include consonants, vowels and tone marks, ... [more] PRMU2010-245
pp.49-54
PRMU, MVE, IPSJ-CVIM [detail] 2011-01-21
09:00
Shiga   Trie-Lexicon-Driven On-line Handwritten Japanese Address Phrase Recognition
Gaku Kawasaki, Bilan Zhu, Masaki Nakagawa (TUAT) PRMU2010-174 MVE2010-99
This paper describes a trie-lexicon-driven method for online handwritten Japanese address phrase recognition. We built a... [more] PRMU2010-174 MVE2010-99
pp.205-210
PRMU 2007-10-26
12:50
Miyagi Hotel Matsushima Daikansou Segmentation of On-line Handwritten Japanese Characters of Arbitrary Line Direction Using SVM
Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agriculture and Tech.) PRMU2007-115
This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a supp... [more] PRMU2007-115
pp.135-140
PRMU 2007-03-16
14:45
Okayama   Development of cursive character pattern recognition for accessing a digital dictionary to support decoding of historical documents
Motoki Onuma, Bilan Zhu (Tokyo Univ. of Agriculture and Technology), Shoji Yamada (International Research Center for Japanese Studies), Mamoru Shibayama (Center for Southeast Asian Studies), Masaki Nakagawa (Tokyo Univ. of Agriculture and Technology)
This paper presents robust recognition of cursive character patterns for accessing a digital dictionary to decode histor... [more] PRMU2006-270
pp.91-96
PRMU, TL 2006-02-24
17:00
Ibaraki   Implementation and evaluation of a scalable recognition system
Hideto Oda, Akihito Kitadai, Motoki Onuma, Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.)
This paper describes an on-line/off-line combined recognition system using recognition score normalization. The goal of ... [more] TL2005-90 PRMU2005-225
pp.135-140
PRMU, TL 2005-03-17
11:30
Akita   A Method for Recognizing On-line Handwritten Patterns mixed of Text and Formulas
Keisuke Mochida, Akihito Kitadai, Bilan Zhu, Motoki Onuma, Masaki Nakagawa (TUAT)
This paper describes a method for recognizing on-line handwritten patterns mixed of text and formulas. Most of the text ... [more] TL2004-51 PRMU2004-219
pp.43-48
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