Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jia-Cheng Tu"'
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9528 (2021)
In this paper, a keyword detection scheme is proposed based on deep convolutional neural networks for personal information protection in document images. The proposed scheme is composed of key character detection and lexicon analysis. The first part
Externí odkaz:
https://doaj.org/article/97e51c24a2a241aaab5ef97ca44514a9
Publikováno v:
Applied Sciences
Volume 11
Issue 20
Applied Sciences, Vol 11, Iss 9528, p 9528 (2021)
Volume 11
Issue 20
Applied Sciences, Vol 11, Iss 9528, p 9528 (2021)
In this paper, a keyword detection scheme is proposed based on deep convolutional neural networks for personal information protection in document images. The proposed scheme is composed of key character detection and lexicon analysis. The first part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19b191274e4a4abbfcc957693eadfee5
Autor:
Mutia Fadhilla, Kuan-Cheng Huang, Chao-Chuan Chang, Jia-Cheng Tu, Ming-Hsien Tasi, Guo-Shiang Lin
Publikováno v:
2018 International Symposium on Computer, Consumer and Control (IS3C).
In this paper, a key character detection method was proposed based on deep neural network for document images. The proposed method is developed based on RetinaNet. The first step is the ROI detection. After obtaining the ROI, RetinaNet composed of co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98c4f09268db820321d0b2cfa9066a4b
https://doi.org/10.1109/is3c.2018.00086
https://doi.org/10.1109/is3c.2018.00086