학술논문

Recognition system of US dollars using a neural network with random masks
Document Type
Conference
Source
Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan) Neural networks Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on. 2:2033-2036 vol.2 1993
Subject
Computing and Processing
Components, Circuits, Devices and Systems
Signal Processing and Analysis
Neural networks
Slabs
Pattern recognition
Pixel
Costs
Computer networks
Computational modeling
Stochastic processes
Random number generation
Language
Abstract
We deal with bill money recognition and propose a downsizing method for neural networks by slab-like architecture. By this architecture, the same slab values which are the sum of input pixels may be obtained even if the inputs are different. To avoid this problem, we introduce random masks. We show that the recognition of US dollar bills which are much similar to each other and have the similar tone of colour can be done based on the neural network using a conventional bill money recognition machine and a 32-bit computer.