Paper Cut-Out Patterns Recognition Based on Geometrical Features

In this paper, we investigate the geometrical shape of cut-out patterns and the classification techniques, then introduce the six geometry features definition, including shape-factor, complexity, extendability, eccentricity, solidity and modal-ratio and propose the application of BP neural networks to train, classify and identify the patterns. The proposed scheme has the advantages of classifying and identifying the excessive geometrical artistic deformations. Experimental results demonstrate the superiority of the pattern recognition and the algorithm is simpler and easier to implement.