Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Zhengqi Cai"'
Publikováno v:
IEEE Access, Vol 9, Pp 154435-154447 (2021)
Accurate layout analysis without subsequent text-line segmentation remains an ongoing challenge, especially when facing the Kangyur, a kind of historical Tibetan document featuring considerable touching components and mottled background. Aiming at id
Externí odkaz:
https://doaj.org/article/b0378dfd3723490a99c54a1ac5e0d762
Publikováno v:
Third International Conference on Computer Science and Communication Technology (ICCSCT 2022).
Publikováno v:
IEEE Access, Vol 9, Pp 154435-154447 (2021)
Accurate layout analysis without subsequent text-line segmentation remains an ongoing challenge, especially when facing the Kangyur, a kind of historical Tibetan document featuring considerable touching components and mottled background. Aiming at id
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030177942
CVC (1)
CVC (1)
The first step of historical document image recognition is the image binarization, however historical documents of poor quality, and there are all kinds of ink, stained and the background texture complexity, which brings huge challenge to the work. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae95f3b78ba59585841bae7110124916
https://doi.org/10.1007/978-3-030-17795-9_44
https://doi.org/10.1007/978-3-030-17795-9_44
Autor:
Weilan Wang, Zhengqi Cai
Publikováno v:
ICFHR
In online handwriting Tibetan transliteration of the Sanskrit character recognition (HTTSCR), many misclassification errors come from the confusion of similar characters. A recognition method based on 2DLDA compound distance was proposed to fully usi
Autor:
Weilan Wang, Zhengqi Cai
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783030033378
PRCV (3)
PRCV (3)
Discriminant Locality Alignment (DLA) has been successfully applied in handwriting character recognition. In this paper, a new manifold based subspace learning algorithm, which is called Two-dimensional Discriminant Locality Alignment (2DDLA) algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87a74882fc44725241e5fcc4973e7666
https://doi.org/10.1007/978-3-030-03338-5_8
https://doi.org/10.1007/978-3-030-03338-5_8
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 33:1953003
The online handwriting recognition of Tibetan characters is still in its infancy. For further research, an online handwriting database of large Tibetan character set was developed, and a recognition research was carried out on this database as a base
Publikováno v:
Journal of Computer Applications. 33:3129-3133
Publikováno v:
Fuzzy Information & Engineering and Operations Research & Management ISBN: 9783642386664
Vague set is a valid tool for processing uncertain information. The similarity measure of two uncertain patterns is important for intelligent reasoning. It is also a key problem to measure the similarity of vague values or vague sets in vague informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0f82544db9dcd91ce430740d52c35ae
https://doi.org/10.1007/978-3-642-38667-1_13
https://doi.org/10.1007/978-3-642-38667-1_13
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642342394
This paper makes use of knowledge granular to present a new method to mine rules based on granule. First, use the measure to measure the importance of attribute, and get the granularity of the universe, and then repeat this procedure to every granule
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bc375e6e63b3a9dd91905f4410a340f
https://doi.org/10.1007/978-3-642-34240-0_36
https://doi.org/10.1007/978-3-642-34240-0_36