A unified method for augmented incremental recognition of online handwritten Japanese and English text

2020
journal article
article
1
cris.lastimport.wos2024-04-10T01:16:13Z
dc.abstract.enWe present a unifed method to augmented incremental recognition for online handwritten Japanese and English text, which is used for busy or on-the-fly recognition while writing, and lazy or delayed recognition after writing, without incurring long waiting times. It extends the local context for segmentation and recognition to a range of recent strokes called "segmentation scope" and "recognition scop", respectively. The recognition scope is inside of the segmentation scope. The augmented incremental recognition triggers recognition at every several recent strokes, updates the segmentation and recognition candidate lattice, and searches over the lattice for the best result incrementally. It also incorporates three techniques. The frst is to reuse the segmentation and recognition candidate lattice in the previous recognition scope for the current recognition scope. The second is to fx undecided segmentation points if they are stable between character/word patterns. The third is to skip recognition of partial candidate character/word patterns. The augmented incremental method includes the case of triggering recognition at every new stroke with the above-mentioned techniques. Experiments conducted on TUAT-Kondate and IAM online database show its superiority to batch recognition (recognizing text at one time) and pure incremental recognition (recognizing text at every input stroke) in processing time, waiting time, and recognition accuracy.pl
dc.affiliationWydział Filozoficzny : Instytut Filozofiipl
dc.contributor.authorNguyen, Cuong Tuanpl
dc.contributor.authorIndurkhya, Bipin - 227976 pl
dc.contributor.authorNakagawa, Masakipl
dc.date.accessioned2020-05-12T09:13:16Z
dc.date.available2020-05-12T09:13:16Z
dc.date.issued2020pl
dc.date.openaccess6
dc.description.accesstimepo opublikowaniu
dc.description.number1pl
dc.description.physical53-72pl
dc.description.publication1,8pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume23pl
dc.identifier.doi10.1007/s10032-019-00343-ypl
dc.identifier.eissn1433-2825pl
dc.identifier.issn1433-2833pl
dc.identifier.projectROD UJ / OPpl
dc.identifier.projectJP 18K18068pl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/155750
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl*
dc.share.typeotwarte repozytorium
dc.subject.enonline recognitionpl
dc.subject.enhandwriting recognitionpl
dc.subject.enbatch recognitionpl
dc.subject.enincremental recognitionpl
dc.subtypeArticlepl
dc.titleA unified method for augmented incremental recognition of online handwritten Japanese and English textpl
dc.title.journalInternational Journal on Document Analysis and Recognitionpl
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-10T01:16:13Z
dc.abstract.enpl
We present a unifed method to augmented incremental recognition for online handwritten Japanese and English text, which is used for busy or on-the-fly recognition while writing, and lazy or delayed recognition after writing, without incurring long waiting times. It extends the local context for segmentation and recognition to a range of recent strokes called "segmentation scope" and "recognition scop", respectively. The recognition scope is inside of the segmentation scope. The augmented incremental recognition triggers recognition at every several recent strokes, updates the segmentation and recognition candidate lattice, and searches over the lattice for the best result incrementally. It also incorporates three techniques. The frst is to reuse the segmentation and recognition candidate lattice in the previous recognition scope for the current recognition scope. The second is to fx undecided segmentation points if they are stable between character/word patterns. The third is to skip recognition of partial candidate character/word patterns. The augmented incremental method includes the case of triggering recognition at every new stroke with the above-mentioned techniques. Experiments conducted on TUAT-Kondate and IAM online database show its superiority to batch recognition (recognizing text at one time) and pure incremental recognition (recognizing text at every input stroke) in processing time, waiting time, and recognition accuracy.
dc.affiliationpl
Wydział Filozoficzny : Instytut Filozofii
dc.contributor.authorpl
Nguyen, Cuong Tuan
dc.contributor.authorpl
Indurkhya, Bipin - 227976
dc.contributor.authorpl
Nakagawa, Masaki
dc.date.accessioned
2020-05-12T09:13:16Z
dc.date.available
2020-05-12T09:13:16Z
dc.date.issuedpl
2020
dc.date.openaccess
6
dc.description.accesstime
po opublikowaniu
dc.description.numberpl
1
dc.description.physicalpl
53-72
dc.description.publicationpl
1,8
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
23
dc.identifier.doipl
10.1007/s10032-019-00343-y
dc.identifier.eissnpl
1433-2825
dc.identifier.issnpl
1433-2833
dc.identifier.projectpl
ROD UJ / OP
dc.identifier.projectpl
JP 18K18068
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/155750
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
otwarte repozytorium
dc.subject.enpl
online recognition
dc.subject.enpl
handwriting recognition
dc.subject.enpl
batch recognition
dc.subject.enpl
incremental recognition
dc.subtypepl
Article
dc.titlepl
A unified method for augmented incremental recognition of online handwritten Japanese and English text
dc.title.journalpl
International Journal on Document Analysis and Recognition
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.

Views
22
Views per month
Views per city
Ashburn
4
Wroclaw
2
Boardman
1
Des Moines
1
Dublin
1
Shanghai
1
Downloads
nguyen_cuong_indurkhya_nakagawa_a_unified_method_for_augmented_incremental_2020.pdf
8