Flexible Neural Network Architecture for Handwritten Signatures Recognition
Dawid Połap, Marcin Woźniak · International Journal of Electronics and Telecommunications · 2016
Abstract This article illustrates modeling of flexible neural networks for handwritten signatures preprocessing. An input signature is interpolated to adjust inclination angle, than descriptor vector is composed. This information is preprocessed in proposed flexible neural network architecture, in which some neurons are becoming crucial for recognition and adapt to classification purposes. Experimental research results are compared in benchmark tests with classic approach to discuss efficiency of proposed solution.