Character Recognition Method for Low-Contrast Images of Numerical Instruments

Sun, Jin; Ma, Yuzhong; Yang, Hanmin; Wang, Ning; Ding, Yu; Song, Aiping; Zhu, Yan; Xi, Juntong

doi:10.1109/icivc.2018.8492727

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Sun et al [4] is a study that recognizes the number of displays in digital power meters used in China. In Sun et al, displays were found using image processing techniques.…”

Section: Related Workmentioning

confidence: 99%

Object Detection Model Training Technique for Numeric Text Detection in Analog Power Meter Images

Hwa¹,

Park²

2020

IJCG

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Recently, with the expansion of the demand response market, the need to automatically read power meters is increasing. In addition, computer vision using deep neural networks has rapidly developed, and object detection, the task of finding a specific object in an image, has now reached high accuracy. There are several studies on the subject of automatic power meter reading. However, studies that apply object detection to reading meters are difficult to find. Automatic power meter reading is generally divided into the task of finding the number corresponding to the usage and the task of recognizing the number. In this paper, we only deal with finding numbers using object detection. Training is needed to create an object detection model that finds only the numeric area in the meter. The important factors in training a model are the amount of training data and the number of training epochs. Training a lot of epochs with a lot of training data will show high detection performance, but it takes a lot of time to prepare for training and training data. In this paper, we present the amount of training data and the number of epochs that can take the least time to train an object detection model with a detection performance of over 99%. Also, the results of various experiments performed to find this parameter are recorded in the paper. 1

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“…Sun et al [4] is a study that recognizes the number of displays in digital power meters used in China. In Sun et al, displays were found using image processing techniques.…”

Section: Related Workmentioning

confidence: 99%

Object Detection Model Training Technique for Numeric Text Detection in Analog Power Meter Images

Hwa¹,

Park²

2020

IJCG

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show abstract

“…As a result, a variety of applications is being created in artificial intelligence, robotics, factory automation, security, and so on [1][2][3][4][5]. Among them, one of the most widely used fields of computer vision is character recognition [6][7][8]. With the development of the character recognition technology using the convolutional neural network (CNN) [9,10], the performance of the character recognition is much better than before.…”

Section: Introductionmentioning

confidence: 99%

A method to convert non-numeric characters into numerical values in dynamic time warping for string matching

Park

2021

IJECE

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Dynamic time warping (DTW) is one of the well-known algorithms for measuring similarity between two temporal sequences, and it can be used for character matching. It uses a distance of two character strings. However, since the characters are non-numeric, it must be assigned to numerical values to calculate a distance between two character strings. Therefore, in this paper, we propose a method to convert non-numeric characters into numerical values in dynamic time warping for string matching. The proposed method uses normalized correlation coefficient, and it makes DTW gives more accurate results. Experimental results show that the proposed method gives excellent results.

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Improvement of the Algorithm of Determination Parameter of Photography in the Conditions of Light Sensitivity

Korobchynskyi

Slonov

Rudenko

et al. 2020

2020 IEEE Third International Conference on Data Stream Mining &Amp; Processing (DSMP)

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Character Recognition Method for Low-Contrast Images of Numerical Instruments

Cited by 4 publications

References 8 publications

Object Detection Model Training Technique for Numeric Text Detection in Analog Power Meter Images

Object Detection Model Training Technique for Numeric Text Detection in Analog Power Meter Images

A method to convert non-numeric characters into numerical values in dynamic time warping for string matching

Improvement of the Algorithm of Determination Parameter of Photography in the Conditions of Light Sensitivity

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