Digital Image Classification by the Bessel Masks Methodology

摘要

Since the evolution of the computer's hardware in the middle of last century, the automatization processes are very productive in fields such as industry, security, engineering and science. In this work a pattern recognition methodology to classified images is presented. Here, the Bessel masks digital image system invariant to position and rotation is utilized to classified gray-scale images. Moreover, by the use of the Fisher's Z distribution the digital system get a 99% confidence level performance.