Online signature recognition and verification using (SURF) algorithm with SVM kernels
Joint Authors
Hamadly, Ali Khaleel Ibrahim
Abd al-Munim, Husam al-Din Hasan
Muhammad, Huda Qurashi
Source
Journal of al Azhar University : Engineering Sector
Issue
Vol. 13, Issue 49 (31 Oct. 2018), pp.1332-1344, 13 p.
Publisher
al-Azhar University Faculty of Engineering
Publication Date
2018-10-31
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
One important way to identify the signer is the personal signature.
The operation of recognize the signature and identify it, is very important.
This process may be done either offline or online.
This paper explains the online technique.
Features extraction, pattern matching and Images processing are techniques used for signature confirmation.
Speed up robust features (SURF) is an algorithm that uses the image of local feature with ability for matching images.
SURF recognizes, describes and extracts the local feature of forged signature from the image.
SURF algorithm provides fast and accurate comparison tool that can work under different lights, visions and rotation situations to check if the person signature is original or forged.
The features extracted from the SURF algorithm are entered into Bag-of-word features.
The features of bag-of-word are used inside multiclass Support Vector Machine (SVM) classifies.
SURF with SVM kernels gives an accuracy of 98.75%.
American Psychological Association (APA)
Hamadly, Ali Khaleel Ibrahim& Abd al-Munim, Husam al-Din Hasan& Muhammad, Huda Qurashi. 2018. Online signature recognition and verification using (SURF) algorithm with SVM kernels. Journal of al Azhar University : Engineering Sector،Vol. 13, no. 49, pp.1332-1344.
https://search.emarefa.net/detail/BIM-925018
Modern Language Association (MLA)
Hamadly, Ali Khaleel Ibrahim…[et al.]. Online signature recognition and verification using (SURF) algorithm with SVM kernels. Journal of al Azhar University : Engineering Sector Vol. 13, no. 49 (Oct. 2018), pp.1332-1344.
https://search.emarefa.net/detail/BIM-925018
American Medical Association (AMA)
Hamadly, Ali Khaleel Ibrahim& Abd al-Munim, Husam al-Din Hasan& Muhammad, Huda Qurashi. Online signature recognition and verification using (SURF) algorithm with SVM kernels. Journal of al Azhar University : Engineering Sector. 2018. Vol. 13, no. 49, pp.1332-1344.
https://search.emarefa.net/detail/BIM-925018
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-925018