Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Deena Hijam"'
Autor:
Deena Hijam, Sarat Saharia
Publikováno v:
The Visual Computer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1268c78dc3fdebdcb6793d803d32668c
https://doi.org/10.1007/s00371-023-02776-3
https://doi.org/10.1007/s00371-023-02776-3
Publikováno v:
International Journal of Knowledge-based and Intelligent Engineering Systems. 25:97-108
The growth of web has touched everyone’s life from an economist, entrepreneur, and academician to a farmer. The agriculture sector is quite important for any country’s growth. Farmers can also be benefited if they are provided with relevant infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3992932c807d8f053f0995be94601db3
https://doi.org/10.3233/kes-210055
https://doi.org/10.3233/kes-210055
Autor:
Sarat Saharia, Deena Hijam
Publikováno v:
The Visual Computer. 38:525-539
This paper introduces a large-scale Meitei Mayek handwritten character database. It consists of the complete character set of the script. There are a total of 85,124 character images of 55 character classes with 72,330 and 12,794 images in training a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c037352a748c492817cb1394dd75b5e1
https://doi.org/10.1007/s00371-020-02032-y
https://doi.org/10.1007/s00371-020-02032-y
Autor:
Deena Hijam, Sarat Saharia
Publikováno v:
International Conference on Intelligent Computing and Smart Communication 2019 ISBN: 9789811506321
This paper reports a comparative study of seven popular classification models namely decision tree, KNN, Linear Support Vector Classifier, Multilayer Perceptron, Random Forest, Support Vector Machine, and Gaussian Naive Bayes on a benchmark dataset o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aac9ba6a23aeab4342d70dae8e6cfcf9
https://doi.org/10.1007/978-981-15-0633-8_7
https://doi.org/10.1007/978-981-15-0633-8_7
Publikováno v:
2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA).
Off-line Handwritten Character Recognition (HCR) is the automatic conversion of text in an image into letter codes which are usable within computer and text-processing applications. In order to have a complete HCR system of a script, it is essential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb4081a12d0b65653a223abc47dcc1e1
https://doi.org/10.1109/iccubea.2018.8697590
https://doi.org/10.1109/iccubea.2018.8697590
Autor:
Sarat Saharia, Deena Hijam
Publikováno v:
Intelligent Human Computer Interaction ISBN: 9783030040208
IHCI
IHCI
Off-line Handwritten Character Recognition (HCR) is the process of automatic conversion of images of handwritten text into a form that computers can understand and process. Several research works for HCR of different scripts are found in literature.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9928e0b9b7d4f12be9a0926d61d7343e
https://doi.org/10.1007/978-3-030-04021-5_19
https://doi.org/10.1007/978-3-030-04021-5_19