The use of steerable filters for hand-written character recognition

We develop a system for image recognition using steer-able filters and neural networks where the main role of steerable filters is in the pre-processing of the image. This process enables the characterisation of the image by the local dominant orientation rather than global image. The Kohonen's self organising feature map is used for the recognition task.