Online zones' identification using signature baseline

Signature zones' identification has been used in signature recognition and verification. The identification of an offline signature requires the whole image of the signature to be processed without considering other features in the signature. One of the signature features that are frequently used as the precondition for other subsequent algorithms in signature recognition and verification is the baseline. Since the representation of the offline signature is different than the online signature, a different approach is used to identify the online signature zones. This approach takes the information obtained from the baseline as a consideration for developing the zones' identification algorithms. The results shows that the algorithms developed have 85.73% correctness by average based on the zones definition and 37.18% accuracy by average compared to the opinion of a graphologist.