Abstract
Several biometric security systems have been implemented. Biometric is the use of a person’s physiological or behavioural characteristics to identify the individual. An example of behavioural method of biometric is signature identification. Signature identification is the use of handwritten signature to identify a person. This paper attempt design and implement an algorithm for handwritten signature identification. The signature identification system consists of signature acquisition, preprocessing, features extraction and matching stages. Signature acquisition can be either online or offline (both were considered in this research work). Online signatures are obtained by signing on digital tablets while offline signatures are scanned (or snapped) into the system. Preprocessing stage of the system include turning the image to greyscale. The grey image is further converted to binary (black and white). The image is then thinned, using Stentiford thinning algorithm. Stentiford thinning algorithm in an iterative thinning method with a good thinned imaged output. The image is finally cropped to rid the image of unnecessary white spaces. For features extraction, principal component analysis is used. Principal Component Analysis is a good statistical tool for identifying pattern in data. Features extracted from each signature are stored as a template. After features extraction, the distance between signature templates are computed using Manhattan distance. If the distance exceeds a certain threshold, the test signature is rejected (otherwise it is accepted). The design system has a FAR of 4% and an FRR of 6% for offline signatures. A FAR of 2% and an FRR of 3% were obtained for online signatures
Highlights
Identification is the process of recognizing someone or something because of previous knowledge
Handwritten signature can be seen as the scripted name or legal mark of an individual executed by the hand for the purpose of authenticating writing in a permanent form (Vamsi, 2008)
Handwritten signature can be written on a paper with a pen or on a sensitive tablet
Summary
Identification is the process of recognizing someone or something because of previous knowledge. The three types of signature forgery (Abu, 2010) include the random forgery where a signature is written by a person without prior knowledge of the shape of the original signature. This type of forgery is easy to detect. The second been the simple forgery, which is written by a person with knowledge of the shape of the original signature but with less practice and the skilled forgery that is probably the most difficult to detect. The signer is skilled at forgery and he does this by tracing, drawing or imitating the original signature This type of forgery is written with good imitation of the genuine signature. Performance analysis of the algorithm is carried out and reported
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
