Zobrazeno 1 - 8
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pro vyhledávání: '"Mohammad Idrees Bhat"'
Autor:
Mohammad Idrees Bhat, B. Sharada
Publikováno v:
International Journal of Computer Vision and Image Processing. 10:54-73
Holistic-based approaches attempt to represent an entire handwritten word as an indivisible entity by representing it with feature representations. Despite the presence of various feature representations, it still remains a challenge to get the effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::759e738e70664a9c134da13a536281f0
https://doi.org/10.4018/ijcvip.2020100104
https://doi.org/10.4018/ijcvip.2020100104
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031070044
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7f8bc2ec53a4081612278a69c8a7889
https://doi.org/10.1007/978-3-031-07005-1_25
https://doi.org/10.1007/978-3-031-07005-1_25
Publikováno v:
Mining Intelligence and Knowledge Exploration ISBN: 9783031215162
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a48192805d1b0f68cdd5c99c06de3369
https://doi.org/10.1007/978-3-031-21517-9_8
https://doi.org/10.1007/978-3-031-21517-9_8
Publikováno v:
ICFHR
Shirorekha identification and removal is an important and a challenging pre-processing stage in almost all machine interpretations for handwritten Devanagari documents. Within this area of investigation, all studies are designed based on traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6ec51e6acc665d225b35a54eeaa21b3
https://doi.org/10.1109/icfhr2020.2020.00051
https://doi.org/10.1109/icfhr2020.2020.00051
Autor:
Mohammad Idrees Bhat, B. Sharada
Publikováno v:
Journal of Intelligent Systems, Vol 29, Iss 1, Pp 799-813 (2018)
Interpretation of different writing styles, unconstrained cursiveness and relationship between different primitive parts is an essential and challenging task for recognition of handwritten characters. As feature representation is inadequate, appropri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1a3ce6ae08f15f9fa45593079dc6e0f
Autor:
B. Sharada, Mohammad Idrees Bhat
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811048586
RTIP2R
RTIP2R
In this paper, the task of recognizing handwritten devanagari numerals by giving graph representation is introduced. Lipschitz embedding is explored to extract style, size invariant features from numeral graphs. Graph based features adequately model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8acde1aabf9ec203323590cfa29262c
https://doi.org/10.1007/978-981-10-4859-3_10
https://doi.org/10.1007/978-981-10-4859-3_10
Autor:
Mohammad Idrees Bhat, B. Sharada
Publikováno v:
ICACCI
Feature based representation is inadequate in modeling different writing styles, irregularity in size, complicated structural relationships, cursivenes present in unconstrained handwritten devanagiri numerals. In this paper, this insufficiency is eli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0657ac9e10d9d291dd8ea570f9380882
https://doi.org/10.1109/icacci.2016.7732333
https://doi.org/10.1109/icacci.2016.7732333
Publikováno v:
2016 International Conference on Communication and Signal Processing (ICCSP).
Automatic recognition of style variant, cursive and irregular unconstrained handwritten devanagiri numerals in scanned images is a challenging task. In this paper, a graph based representation is given to handwritten numerals, as it provides best alt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e8a4d1bbaa11536f3af87ea371f0a56
https://doi.org/10.1109/iccsp.2016.7754458
https://doi.org/10.1109/iccsp.2016.7754458