Author:
Rachala Rohith Reddy,Panicker Mahesh Raveendranatha
Publisher
Springer Science and Business Media LLC
Reference19 articles.
1. Dey M, Mia SM, Sarkar N, Bhattacharya A, Roy S, Malakar S, Sarkar R. A two-stage CNN-based hand-drawn electrical and electronic circuit component recognition system. Neural Comput Appl. 2021. https://doi.org/10.1007/s00521-021-05964-1.
2. Roy S, Bhattacharya A, Sarkar N, Malakar S, Sarkar R. Offline hand-drawn circuit component recognition using texture and shape-based features. Multimed Tools Appl. 2020. https://doi.org/10.1007/s11042-020-09570-6.
3. Dewangan A. KNN based hand drawn electrical circuit recognition. Int J Res Appl Sci Eng Technol. 2018. https://doi.org/10.22214/ijraset.2018.6164.
4. Lakshman Naika R, Dinesh R, Prabhanjan S. Handwritten electric circuit diagram recognition: an approach based on finite state machine. Int J Mach Learn Comput. 2019. https://doi.org/10.18178/ijmlc.2019.9.3.813.
5. Sala P. A recognition system for symbols of electronic components in hand-written circuit diagrams. CSC 2515-Machine Learning Project Report. (2004). http://www.cs.toronto.edu/~psala/ML/ML-Project.pdf. Accessed 25 Apr 2022.
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