1. Ogata, T., Ueyama, T., et al.: Automated field-of-view, illumination, and recognition algorithm design of a vision system for pick-and-place considering colour information in illumination and images. Sensors 18(5), 55–59 (2018)
2. Lim, J., Baek, Y.: Low-power communication method using on-device deep neural network for low-power image recognition system. J. Korean Inst. Commun. Inf. Sci. 44(8), 1588–1596 (2019)
3. Ergn, C., Norozpour, S.: Farsi document image recognition system using word layout signature. Turk. J. Electr. Eng. Comput. Sci. 27(2), 1477–1488 (2019)
4. Ashaduzzaman, M., Hasan, S.M.: Recognition method for aggressive behavior of group pigs based on deep learning. Nongye Jixie Xuebao/Trans. Chin. Soc. Agric. Mach. 35(23), 192–200 (2019)
5. Demir, H.S., Christen, J.B., Ozev, S.: Energy-efficient image recognition system for marine life. IEEE Trans. Comput. Aided Des. Integr. Circ. Syst. 39(11), 3458–3466 (2020)