Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
2008 Special Issue: The state of MIIND
Neural Networks
Local patch dissimilarity for images
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
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Two novel methods for achieving handwritten digit recognition are described. The first method is based on a neural network chip that performs line thinning and feature extraction using local template matching. The second method is implemented on a digital signal processor and makes extensive use of constrained automatic learning. Experimental results obtained using isolated handwritten digits taken from postal zip codes, a rather difficult data set, are reported and discussed