No-reference digital image quality assessment of offline signature

The purpose of this paper is to develop a simple criterion for image quality assessment of a signature scanned from a paper (i. e., a static or offline signature). A new approach to no-reference assessment of the quality of a binary signature image is proposed, which can be useful as a tool for monitoring signature samples in biometric recognition systems to control data quality. For example, it can be used during image registration, selection of processing methods and its parameters adjustment, after performing various operations (such as rotation or scaling) and the need to evaluate and analyze the obtained signature images. The paper also describes factors that can negatively affect the quality of a static signature. The experimental analysis was performed on digital images of signatures available in the CEDAR, BHSig260-Bengali, SigComp2009 databases and images collected during the research.