Forgery Numeral Handwriting Detection Based on Convolutional Neural Network

In this work, hand written forgery is detected/classified using Convolutional Neural Network (CNN). Handwriting forgery detection is one of the hotspots in forensic science, and economic cases of handwritten forged numbers are increasing. At the same time, forgery identification of documents is an important evidence in criminal proceedings. 

For the problem of tedious and low degree of automation of manual document inspection, put forward a method for handwritten forged numeral detection based on convolutional neural networks. Here in this project, we will classify six types of handwritten forged numbers using Convolutional Neural Networks (CNN). Experimental results show that this model is better than Support Vector Machine (SVM) feature classifier.

Keywords: Convolutional Neural Networks, Forensic Science, Forgery Detection, Support Vector Machine.