Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Chetan Ramaiah"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198267
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fabc8df1ab17611a042d26fafb6506d2
https://doi.org/10.1007/978-3-031-19827-4_24
https://doi.org/10.1007/978-3-031-19827-4_24
Publikováno v:
IET Biometrics. 2:191-198
With the explosive growth of the tablet form factor and greater availability of pen-based direct input, online writer identification is increasingly becoming critical for person identification, digital forensics as well as downstream applications suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c365ebd53b2ba3ed2d51a99844d2e4ea
https://doi.org/10.1049/iet-bmt.2013.0017
https://doi.org/10.1049/iet-bmt.2013.0017
Publikováno v:
BTAS
Subspace learning algorithms aim at finding low dimensional linear manifolds that are representative of the data at hand. In this paper we propose a semi-supervised approach that fits any given dataset to a low dimensional subspace while maintaining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df7e6a9b4fdc9db006945350cbf9cc9b
https://doi.org/10.1109/btas.2016.7791185
https://doi.org/10.1109/btas.2016.7791185
Publikováno v:
ICPR
A key factor in building effective writer identification/verification systems is the amount of data required to build the underlying models. In this research we systematically examine data sufficiency bounds for two broad approaches to online writer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::010db7b575f866cb02bfdb6c40fefb5e
https://doi.org/10.1109/icpr.2014.538
https://doi.org/10.1109/icpr.2014.538
Publikováno v:
ICPR
Popular CAPTCHA systems consist of garbled printed text character images with significant distortions and noise. It is believed that humans have little difficulty in deciphering the text, whereas automated systems are foiled by the added noise and di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59d92b5b163fb20130b2abf101d76b41
https://doi.org/10.1109/icpr.2014.52
https://doi.org/10.1109/icpr.2014.52
Autor:
Venu Govindaraju, Chetan Ramaiah
Publikováno v:
Document Analysis Systems
Writer identification is the process of determining the author of a handwritten specimen by utilizing characteristics inherent in the sample. In this work, we apply the concept of accents in handwriting to introduce a novel perspective for writer ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f81a9feca088be32acd2e5277434e4f2
https://doi.org/10.1109/das.2014.69
https://doi.org/10.1109/das.2014.69
Publikováno v:
Document Analysis Systems
Writer Identification can be seen as a multi-class learning problem where number of writers are different classes. One of the fundamental approaches to solve a multi-class problemis by breaking it into binary classification tasks. In this work weare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10aafb2e8c0779faef205d13d621afd5
https://doi.org/10.1109/das.2014.73
https://doi.org/10.1109/das.2014.73
Publikováno v:
ICDAR
Accent in speech is defined as a distinctive mode of pronunciation that is unique to a geographical region. In a similar way, we define accent in handwriting as distinctive writing characteristics that are unique to a group of people sharing a common
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a38d4637728efe0bab7350c4b6d9a472
https://doi.org/10.1109/icdar.2013.187
https://doi.org/10.1109/icdar.2013.187
Publikováno v:
ICDAR
In this paper we present a new dual mode, twin-folio structured English handwriting dataset IBM_UB_1. IBM_UB_1 is our first major release from a large multilingual handwriting corpus. Containing over 6000 pages of handwritten matter, this dataset can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::628b0a8baacc5fad0ab7cb8070ba8596
https://doi.org/10.1109/icdar.2013.12
https://doi.org/10.1109/icdar.2013.12
Publikováno v:
ICFHR
With the explosive growth of the tablet form factor and greater availability of pen-based direct input, writer identification in online environments is increasingly becoming critical for a variety of downstream applications such as intelligent and ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a5d66f8b942463cb6ad45aaa55f2f78
https://doi.org/10.1109/icfhr.2012.235
https://doi.org/10.1109/icfhr.2012.235