An evaluation on offline signature verification using artificial neural network approach

The signature verification is the oldest security technique to verify the identification of persons. Recently, the signature recognition schemes are growing in the world of security technology. It offers two different types of schemes those are offline and online method. The offline technique means...

全面介紹

Saved in:
書目詳細資料
Main Authors: Khalifa, Othman Omran, Alam, Md. Khorshed, Hassan Abdalla Hashim, Aisha
格式: Conference or Workshop Item
語言:English
出版: 2013
主題:
在線閱讀:http://irep.iium.edu.my/33621/1/06633964.pdf
http://irep.iium.edu.my/33621/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6633964&tag=1
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Universiti Islam Antarabangsa Malaysia
語言: English
實物特徵
總結:The signature verification is the oldest security technique to verify the identification of persons. Recently, the signature recognition schemes are growing in the world of security technology. It offers two different types of schemes those are offline and online method. The offline technique means to verify a signature written on paper which is scanned to convert it into a digital image, whereas the online system required an online device such as Tablet PC, touch screen monitor by a pressure sensitive pen to verify the signature. This paper discusses a review of offline signature verification schemes which considered as a highly secured technique to recognize the genuine person's identity. It addresses the offline signature verification technique using Artificial Neural Network (ANN) approach. It also explains the fundamental characteristics of offline signature verification processes and highlights the comparison among various offline signature verification approaches and various signature recognition issues.