There is a tradeoff between noise insensitivity and accurate position in edge detection. This paper suggests an adaptivealgorithm which takes advantage of both LOG and NonLL filte...
We present herein a classificationof regions from an image which is based on textural measurements.It aims to distinguish groups of regions having the sameclass among a pre-establ...
: We present a symbol recognition method without segmentation of the document. Our approach uses Zernike moments for the coding and a multilayered Perceptron for the classifier. Re...
In this paper we present a novel classifier which integrates a multilayer perceptron and a error-correcting decoder. There are two stages in the classifier,in the first stage, map...
A new handwriting model is proposed for simulating complex handwriting variation in obedience to individual handwriting tendencies. Individual handwriting t,endency is represented...