Pattern Recognition System Insensitive to Translation and Rotation by Neural Network
نویسندگان
چکیده
منابع مشابه
An Evaluation of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition
The Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is to compare the ability of the Mahalanobis- Taguchi System and a neural-network to discriminate using small data sets. We examine the discriminant ability as a function of data set size using an application area where reliable data is publicly available. The...
متن کاملAN IMPROVED CONTROLLED CHAOTIC NEURAL NETWORK FOR PATTERN RECOGNITION
A sigmoid function is necessary for creation a chaotic neural network (CNN). In this paper, a new function for CNN is proposed that it can increase the speed of convergence. In the proposed method, we use a novel signal for controlling chaos. Both the theory analysis and computer simulation results show that the performance of CNN can be improved remarkably by using our method. By means of this...
متن کاملRotation-invariant neural pattern recognition system with application to coin recognition
In pattern recognition, it is often necessary to deal with problems to classify a transformed pattern. A neural pattern recognition system which is insensitive to rotation of input pattern by various degrees is proposed. The system consists of a fixed invariance network with many slabs and a trainable multilayered network. The system was used in a rotation-invariant coin recognition problem to ...
متن کاملCoin Recognition System with Rotation Invariant Using Artificial Neural Network
This paper presents a reliable coin recognition system that is based on Polar Harmonic Transform. Coins are widely used by humans at various places like in research organizations, banks, grocery stores, automated weighing machines, vending machines and currency detector. In these machines, there is important process is to recognize the coins accurately and fastly with the help of coin recogniti...
متن کاملan improved controlled chaotic neural network for pattern recognition
a sigmoid function is necessary for creation a chaotic neural network (cnn). in this paper, a new function for cnn is proposed that it can increase the speed of convergence. in the proposed method, we use a novel signal for controlling chaos. both the theory analysis and computer simulation results show that the performance of cnn can be improved remarkably by using our method. by means of this...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEJ Transactions on Electronics, Information and Systems
سال: 1990
ISSN: 0385-4221,1348-8155
DOI: 10.1541/ieejeiss1987.110.3_148