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YOLO와 CRNN을 사용한 전기 계량기 이미지에서의 카운터 숫자 인식
차영화(Young Hwa Cha),박병준(Byung Joon Park) 대한전기학회 2021 전기학회논문지 Vol.70 No.1
This study proposes a method for automatically recognizing digits in power meter images. Our targets are analog power meters that display usage with four counters. We employed object detection to find the numeric domain in the meter image. And optical character recognition was performed to recognize digits in the detected numeric area. Two types of deep neural network models are used for object detection and optical character recognition. To train the model and evaluate its performance, we generated datasets from meter images. In this paper, we propose a model in which two types of deep neural networks are connected, and this model has more than 98% recognition performance.