Application of OCR in Locomotive Maintenance Record Sheet Electrification
In the process of electronic filling, locomotive maintenance record sheet filled out by maintenance personnel adopts manual screening and classfication, which has the problem of low efficiency and time-consuming. A text recognition method based on PaddlePaddle-OCR is proposed in this paper to detect...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2021-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.06.200 |
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| Summary: | In the process of electronic filling, locomotive maintenance record sheet filled out by maintenance personnel adopts manual screening and classfication, which has the problem of low efficiency and time-consuming. A text recognition method based on PaddlePaddle-OCR is proposed in this paper to detect and recognize key text information on record sheet which makes sheet classifying more easily and faster. Firstly, the inclination angle of text calculated by Fourier transform is used for image rotation. Secondly, segmentation network with the head of differentiable binarization module detects text regions of image. Lastly, text recognition is finished by CRNN network. Experimental results show that the key text information recognition accuracy is more than 0.94 and the recognition time is less than 17 seconds needed for CPU per image by this method. Requirements of accuracy and efficiency are satisfied with batch computation.Compared with origin PaddlePaddle-OCR, the method proposed in this paper performs better in text inclination scene.The influences on text detector and recognizer caused by ratio of convolution kernel in backbones are also researched in this paper. |
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| ISSN: | 2096-5427 |