Offline writer identification and verification—a state-of-the-art

Abstract

In forensic science different unique bio-metric information of humans are being used to analyses forensic evidence like finger print, signature, retina scan etc. The same can be used applied on handwriting analysis. The Automatic Writer Identification and Verification (AWIV) is a study which combines forensic analysis field and computer vision and pattern recognition field. This paper presents a survey of literature on the offline handwritten writer identification/verification with the type of data, features and classification approaches attempted till date in different languages and scripts. The analysis of the approaches has been described for further enhancement and adaptation of these techniques in different languages and scripts.