Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film
Joint Authors
Zhang, Jiafeng
Lin, Guangzhong
Zeng, Shuguang
Zheng, Sheng
Yang, Xiao
Lin, Ganghua
Zeng, Xiangyun
Wang, Haimin
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Prior to the availability of digital cameras, the solar observational images are typically recorded on films, and the information such as date and time were stamped in the same frames on film.
It is significant to extract the time stamp information on the film so that the researchers can efficiently use the image data.
This paper introduces an intelligent method for extracting time stamp information, namely, the convolutional neural network (CNN), which is an algorithm in deep learning of multilayer neural network structures and can identify time stamp character in the scanned solar images.
We carry out the time stamp decoding for the digitized data from the National Solar Observatory from 1963 to 2003.
The experimental results show that the method is accurate and quick for this application.
We finish the time stamp information extraction for more than 7 million images with the accuracy of 98%.
American Psychological Association (APA)
Zhang, Jiafeng& Lin, Guangzhong& Zeng, Shuguang& Zheng, Sheng& Yang, Xiao& Lin, Ganghua…[et al.]. 2019. Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film. Advances in Astronomy،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1114432
Modern Language Association (MLA)
Zhang, Jiafeng…[et al.]. Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film. Advances in Astronomy No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1114432
American Medical Association (AMA)
Zhang, Jiafeng& Lin, Guangzhong& Zeng, Shuguang& Zheng, Sheng& Yang, Xiao& Lin, Ganghua…[et al.]. Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film. Advances in Astronomy. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1114432
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1114432