Signature verification system
Date of Publication
1993
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
Subject Categories
Computer Sciences
College
College of Computer Studies
Department/Unit
Computer Science
Abstract/Summary
The Signature Verification System (SVS) is a hardware and software system which determines the authenticity of a signature. It takes the signature from an input device, preprocesses the signature and passes it to a computing process. The computing procedure will compare the previously authenticated signatures to the sample being validated. Given the fact that no two signatures are exactly alike, a tolerance value is specified to accept or reject a signature sample. The differences in the image and in the pressure exerted in writing signatures are the characteristics considered to distinct an authentic signature with an invalid one. The signature of two individuals will surely be different because the image and the pressure are unique factors for each individual. This is due to the fact that man's manner of writing has been developed from forms adopted since his early age. Preprocessing is applied on the signature image and on the downward pressure exerted in writing the signature on a digitizing tablet. It includes the normalization adn grayscaling of the signature images and pressures. The measurement of the pressure is facilitated by incorporating a circuitry designed by the proponents on the input device. Its main component is a sensor called the force transducer. The processing method that has been used to validate the signature samples is neurocomputing. The time elapsed to write the individual's signature is also regarded wherein if the time drops or exceeds the allowable, error, the signature is automatically invalid. The system provides a graphics editor where the user sees his signature after writing it on the input device. After processing, the system indicates whether the signature is genuine or not based on a specified tolerance. The whole system is tested, in an environment with a normal condition.
Abstract Format
html
Language
English
Format
Accession Number
TU07904
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
60 numb. leaves ; Computer print-out.
Keywords
Signature (Writing); Computer systems; Input design, Computer; Pattern recognition systems; Machine translating
Recommended Citation
Licup, M., Naguit, A. A., & Que, I. D. (1993). Signature verification system. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/8870