REGULARITIES AND SINGULARITIES IN LINE PICTURES

Abstract

The main difficulty in pattern recognition is the interpretation of the iconic picture, which consists of pixels, into primitive features. The definition of a feature classification as regular or singular recalled and justified. These ideas are applied to line images, and particularly to handwritten words. A regular feature, the axis, is found on the graph representation of a word. It allows segmentation of the word representation and the obtaining of a descriptive chain. Examples of such symbolic descriptions are given with their interpretations as words from a list of 25. The results show 87% success and 3% substitution rates for the handwriting of one person. Preliminary results show that it may be extended to large categories of handwritings.