Online Signature Verification using Hybrid Features

被引：0

作者：

Tahir, Madiha ^{[1
]}

Akram, M. Usman ^{[1
]}

机构：

[1] Natl Univ Sci & Technol, Comp Engn, Rawalpindi, Pakistan

来源：

2015 SECOND INTERNATIONAL CONFERENCE ON INFORMATION SECURITY AND CYBER FORENSICS (INFOSEC) | 2015年

关键词：

biometric system; hybrid features; online signature verification; skilled forgeries;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Biometrics is the process by which a person's physical, behavioral and psychological traits are identified and recorded by an electronic device of identity. Online handwritten signature verification is a biometric based security system. Most of the previous work is based on statistics of online signatures, local and global features. We proposed to test hybrid features on Japanese online dataset from ICDAR2013 [38]. We extract features in frequency domain and time domain as well by using combination of global, Fourier transform and wavelet transform based features. Accuracy is calculated to compare the efficiency of proposed method. It shows that combination of global, DWT and FFT based features yields better results than other combinations. The accuracy achieved by our system is 73.49% which is better than previous systems evaluated on Japanese online dataset.

引用

页码：11 / 16

页数：6

共 50 条

[41] Online Signature Verification System
Julita, A.
Fauziyah, S.
Azlina, O.
Mardiana, B.
Hazura, H.
Zahariah, A. M.
CSPA: 2009 5TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, 2009, : 8 - 12
[42] Signature verification using Directional and Textural features.
Pushpalatha, K. N.
Gautam, A. K.
Raviteja, K., V
Shruthi, P.
Acharya, Srikrishna R.
Yuvaraj, P.
2013 INTERNATIONAL CONFERENCE ON CIRCUITS, CONTROLS AND COMMUNICATIONS (CCUBE), 2013,
[43] Signature barcodes for online verification
Alpar, Orcan
PATTERN RECOGNITION, 2022, 124
[44] THE METHODS OF PERSONAL FEATURES SELECTION USING ACOGA AND GEOMETRIC EXTREMA CHARACTERISTICS FOR CHINESE ONLINE SIGNATURE VERIFICATION
Cheng, Guozhong
Wei, Feng
2009 IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT, PROCEEDINGS, 2009, : 562 - +
[45] Online signature verification based on dynamic features from gene expression programming
Hua Tan
Lang He
Zhang-Can Huang
Hang Zhan
Multimedia Tools and Applications, 2024, 83 : 15195 - 15221
[46] Interval valued symbolic representation of writer dependent features for online signature verification
Guru, D. S.
Manjunatha, K. S.
Manjunath, S.
Somashekara, M. T.
EXPERT SYSTEMS WITH APPLICATIONS, 2017, 80 : 232 - 243
[47] Orthogonal function representation for online signature verification: which features should be looked at?
Parodi, Marianela
Gomez, Juan C.
Liwicki, Marcus
Alewijnse, Linda
IET BIOMETRICS, 2013, 2 (04) : 137 - 150
[48] Extraction of Features from Signature Image and Signature Verification Using Clustering Techniques
Biswas, Samit
Bhattacharyya, Debnath
Kim, Tai-hoon
Bandyopadhyay, Samir Kumar
SECURITY-ENRICHED URBAN COMPUTING AND SMART GRID, 2010, 78 : 493 - +
[49] Histogram-based matching of GMM encoded features for online signature verification
Sharma, Abhishek
Sundaram, Suresh
PROCEEDINGS 2018 16TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR), 2018, : 169 - 174
[50] Online signature verification based on dynamic features from gene expression programming
Tan, Hua
He, Lang
Huang, Zhang-Can
Zhan, Hang
MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (05) : 15195 - 15221

← 1 2 3 4 5 →