Rotated Pattern Recognition and Rotation Angle Estimation by Neural Networks

Neocognitron for rotated pattern recognition

Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this purpose. The Neocognitron is a multi-layered neural network model for pattern recognition introduced by Fukushima in the early 1980s. It was considered effective and, after supervised learning, it can recognise input p...

Pattern Recognition and Neural Networks

Pattern Recognition Using Neural Networks

Adaptive pattern recognition and neural networks

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Rotation-Invariant Pattern Recognition

In this paper a novel rotation-invariant neural-based pattern recognition system is proposed. The system incorporates a new image preprocessing technique to extract rotationinvariant descriptive patterns from the shapes. The proposed system applies a three phase algorithm on the shape image to extract the rotation-invariant pattern. First, the orientation angle of the shape is calculated using ...