Deep Learning for Optical Character Recognition and Its Application to VAT Invoice Recognition-Reference-Cited by-同舟云学术

Deep Learning for Optical Character Recognition and Its Application to VAT Invoice Recognition

Published:2019-06-14 Issue: Volume: Page:87-95
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Wang Yu,Gui Guan,Zhao Nan,Yin Yue,Huang Hao,Li Yunyi,Wang Jie,Yang Jie,Zhang Haijun

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-6508-9_12

Reference12 articles.

1. Modi, H., Scholar, P.G., Parikh, M.C.: A review on optical character recognition techniques. Int. J. Comput. Appl. 160(6), 975–8887 (2017)

2. Sawant, A.S., Chougule, D.G.: Script independent text pre-processing and segmentation for OCR. In: International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), pp. 1–5 (2015)

3. Mohammad, F., Anarase, J., Shingote, M., Ghanwat, P.: Optical character recognition implementation using pattern matching. Int. J. Comput. Sci. Inform. Technol. 5(2), 2088–2090 (2014)

4. Yi, C., Tian, Y.: Scene text recognition in mobile applications by character descriptor and structure configuration. IEEE Trans. Image Process. 23(7), 2972–2982 (2014)

5. Shi, B., Bai, X., Yao, C.: An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(11), 2298–2304 (2017)

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