An Efficient Method for Automatic Recognizing Text Fields on Identification Card
The problem of optical character and handwriting recognition has been interested by researchers in long time ago. It has obtained great results in theory as well as practical applications. However, the accuracy of identification is still limited, especially in the case of low-quality input images. I...
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oai:112.137.131.14:VNU_123-780092020-04-08T05:29:32Z An Efficient Method for Automatic Recognizing Text Fields on Identification Card Nguyen, Thi Thanh Tan Le, Hong Lam Nguyen, Ha Nam HPC Calculations Industrial applications Identification Card The problem of optical character and handwriting recognition has been interested by researchers in long time ago. It has obtained great results in theory as well as practical applications. However, the accuracy of identification is still limited, especially in the case of low-quality input images. In this article, we propose an efficient method to recognize information fields for identification in ID card using Convolutional Neural Network (CNN) and Long Short-Term Memory networks (LSTM). The proposed method was trained in a large, various quality dataset including over three thousands ID card image samples. The implementation achieved better results compare to previous studies with the precision, recall and f-measure from over 95 up to over 99% out of all information fields to be recognized. 2020-04-08T05:29:32Z 2020-04-08T05:29:32Z 2020 Article Nguyen, T. T. T., Le, H. L., & Nguyen,H.N.(2020). An Efficient Method for Automatic Recognizing Text Fields on Identification Card. VNU Journal of Science: Mathematics – Physics, Vol. 36, No. 1 (2020) 64-70. 2588-1124 http://repository.vnu.edu.vn/handle/VNU_123/78009 https//doi.org/ 10.25073/2588-1124/vnumap.4456 en VNU Journal of Science: Mathematics – Physics; application/pdf H. : ĐHQGHN |
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HPC Calculations Industrial applications Identification Card |
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HPC Calculations Industrial applications Identification Card Nguyen, Thi Thanh Tan Le, Hong Lam Nguyen, Ha Nam An Efficient Method for Automatic Recognizing Text Fields on Identification Card |
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The problem of optical character and handwriting recognition has been interested by researchers in long time ago. It has obtained great results in theory as well as practical applications. However, the accuracy of identification is still limited, especially in the case of low-quality input images. In this article, we propose an efficient method to recognize information fields for identification in ID card using Convolutional Neural Network (CNN) and Long Short-Term Memory networks (LSTM). The proposed method was trained in a large, various quality dataset including over three thousands ID card image samples. The implementation achieved better results compare to previous studies with the precision, recall and f-measure from over 95 up to over 99% out of all information fields to be recognized. |
format |
Article |
author |
Nguyen, Thi Thanh Tan Le, Hong Lam Nguyen, Ha Nam |
author_facet |
Nguyen, Thi Thanh Tan Le, Hong Lam Nguyen, Ha Nam |
author_sort |
Nguyen, Thi Thanh Tan |
title |
An Efficient Method for Automatic Recognizing Text Fields on Identification Card |
title_short |
An Efficient Method for Automatic Recognizing Text Fields on Identification Card |
title_full |
An Efficient Method for Automatic Recognizing Text Fields on Identification Card |
title_fullStr |
An Efficient Method for Automatic Recognizing Text Fields on Identification Card |
title_full_unstemmed |
An Efficient Method for Automatic Recognizing Text Fields on Identification Card |
title_sort |
efficient method for automatic recognizing text fields on identification card |
publisher |
H. : ĐHQGHN |
publishDate |
2020 |
url |
http://repository.vnu.edu.vn/handle/VNU_123/78009 https//doi.org/ 10.25073/2588-1124/vnumap.4456 |
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1680963629149585408 |