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

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

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dc.contributor.author Nguyen, Cuong Tuan pl
dc.contributor.author Indurkhya, Bipin [SAP14011123] pl
dc.contributor.author Nakagawa, Masaki pl
dc.date.accessioned 2020-05-12T09:13:16Z
dc.date.available 2020-05-12T09:13:16Z
dc.date.issued 2020 pl
dc.identifier.issn 1433-2833 pl
dc.identifier.uri https://ruj.uj.edu.pl/xmlui/handle/item/155750
dc.language eng pl
dc.rights Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/pl/legalcode *
dc.title A unified method for augmented incremental recognition of online handwritten Japanese and English text pl
dc.type JournalArticle pl
dc.description.physical 53-72 pl
dc.abstract.en 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. pl
dc.subject.en online recognition pl
dc.subject.en handwriting recognition pl
dc.subject.en batch recognition pl
dc.subject.en incremental recognition pl
dc.description.volume 23 pl
dc.description.number 1 pl
dc.description.publication 1,8 pl
dc.identifier.doi 10.1007/s10032-019-00343-y pl
dc.identifier.eissn 1433-2825 pl
dc.title.journal International Journal on Document Analysis and Recognition pl
dc.language.container eng pl
dc.affiliation Wydział Filozoficzny : Instytut Filozofii pl
dc.subtype Article pl
dc.rights.original CC-BY-NC-ND; otwarte repozytorium; ostateczna wersja wydawcy; po opublikowaniu; 6 pl
dc.identifier.project ROD UJ / OP pl
dc.identifier.project JP 18K18068 pl
.pointsMNiSW [2020 A]: 100


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Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa