{"title":"Neural Network Based Numerical digits Recognization using NNT in Matlab","authors":"Amritpal Kaur, Madhavi Arora","doi":"10.5121/IJCSES.2013.4502","DOIUrl":null,"url":null,"abstract":"Artificial neural networks are models inspired by human nervous system that is capable of learning. One of the important applications of artificial neural network is character Recognition. Character Recognition finds its application in number of areas, such as banking, security products, hospitals, in robotics also. This paper is based on a system that recognizes a english numeral, given by the user, which is already trained on the features of the numbers to be recognized using NNT (Neural network toolbox) .The system has a neural network as its core, which is first trained on a database. The training of the neural network extracts the features of the English numbers and stores in the database. The next phase of the system is to recognize the number given by the user. The features of the number given by the user are extracted and compared with the feature database and the recognized number is displayed.","PeriodicalId":415526,"journal":{"name":"International Journal of Computer Science & Engineering Survey","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Science & Engineering Survey","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJCSES.2013.4502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Artificial neural networks are models inspired by human nervous system that is capable of learning. One of the important applications of artificial neural network is character Recognition. Character Recognition finds its application in number of areas, such as banking, security products, hospitals, in robotics also. This paper is based on a system that recognizes a english numeral, given by the user, which is already trained on the features of the numbers to be recognized using NNT (Neural network toolbox) .The system has a neural network as its core, which is first trained on a database. The training of the neural network extracts the features of the English numbers and stores in the database. The next phase of the system is to recognize the number given by the user. The features of the number given by the user are extracted and compared with the feature database and the recognized number is displayed.