Review on the Coin Recognition System with Rotation Invariant
نویسندگان
چکیده
This paper presents a reliable coin recognition system that is based on a polar harmonic transform. Coins are widely used in daily routine at various places like in banks, automated weighing machines, supermarkets, organizations for research purposes. So, there is a basic need to recognize the coin very accurately. There is problem that if coin is rotated at some angle then the system is unable to recognize it so we are going to introduce a new approach for rotation invariant for coin recognition that is if coin image is rotated at some angle it can be recognized and will prove rotation invariant. So, this paper focuses on removing the need of placing coin in particular position by using artificial neural network. Keywords— Coin, Recognition, reduction technique, PHTs
منابع مشابه
Rotation-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 کاملModified Coin Identification Using Neural Network
In recent years there has been a growing trend of using neural networks for the development of intelligent systems that are able to simulate pattern recognition and object identification. Physical parameters of a coin are the sole criterion that is currently being used for Coin identification by machines. As physical features can easily be easily imitated another criterion which is not based on...
متن کاملCoin Identification Using Neural Networks
Neural networks have been used in the development of intelligent systems that simulate pattern recognition and object identification. Coin identification by machines relies currently on the assessment of the physical parameters of a coin. An intelligent coin identification system that uses coin patterns for identification helps preventing confusion between different coins of similar physical di...
متن کاملFace Recognition using Eigenfaces , PCA and Supprot Vector Machines
This paper is based on a combination of the principal component analysis (PCA), eigenface and support vector machines. Using N-fold method and with respect to the value of N, any person’s face images are divided into two sections. As a result, vectors of training features and test features are obtain ed. Classification precision and accuracy was examined with three different types of kernel and...
متن کامل