The Study Of Arithmetic In The Digital Recognition Base On The Image Feature Extraction

This article is about the image recognition technology which is added to the traditional detection of gas meters. The digital is made out by identifying the pictures of the gas meter. Digital image recognition systems include three parts. They are image location, character segmentation, and character recognition.Image pre-processing mainly relates to the changes of image gray-scale algorithm, two value change of the image, image processing algorithms for filtering, image sharpening processing algorithms. Through these series steps of transformations, we get the binary image with obvious features.Image positioning and segmentation mainly relates to the skew correction algorithm, the image edge detection algorithm. Through the row scan and column scan of the binarization image, we can determine the bottom level of the boundary angle and correct the image incline. Through the projection method we can determine the borders around the characters. Then character segmentation can be done to normalize the image.Image recognition mainly relates to the feature extraction algorithm, the character warehouse building algorithm, the character warehouse comparing and classification algorithms, the character value approaching algorithm. The data network is divided into three sub-networks like unit, tens, and centesimal. The normalized images were sent to the network. The results are combined to identify the values obtained in the gas meter image.In this paper, nearly 1500 samples are sent to the system to learn. The recognition of the success rate can reach 91.67%. The algorithms take into account the recognition rate, recognition speed, inheritable. The application can meet the project and it can easily be inherited by other applications.