Evaluation of neural networks applied in forensics; handwriting verification example

Abstract

There is a growing interest in the possibility of artificial neural networks’ applications in forensics. Extensive research has been published on this subject, especially in the field of handwriting examination. However, it seldom discusses forensic and legal standards, which are the most fundamental of conditions for the acceptance of artificial neural networks in forensics. From the perspective of handwriting analysis, we have exemplified and systematized general methods for an informal falsification of artificial neural networks applied to verification of offline handwritten documents’ authorship. These approaches should be generally effective against applications of neural networks in forensics, aimed to objectively expose and prove models as unreliable.