Conference contribution
(Original article)


Palmprint Identification for User Verification based on Line Detection and Local Standard Deviation


Publication Details
Author(s): Prakoso B, Timotius I, Setyawan I
Publication year: 2014
Conference Proceedings Title: The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014)
Pages range: 155 - 159
Event: The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014)
Event location: Semarang
Language: English

Abstract

Human palmprints contain biometric features that can be used to identify an individual. These features can be used for example in user verification applications. This paper presents a user verification system using palmprint identification. The image of the palm is captured using a web camera. Then the features used for palmprint identification is extracted using line detection and local standard deviation. The proposed system is evaluated by asking 40 subjects to act as users (10 subject as registered users and 30 non-registered users). Our experiments show that the system can achieve accuracy rate of up to 98% with no false acceptance and 2% false rejection rate. The average time required to perform a user verification is 340 ms.



How to cite
APA: Prakoso, B., Timotius, I., & Setyawan, I. (2014). Palmprint Identification for User Verification based on Line Detection and Local Standard Deviation. In The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014) (pp. 155 - 159).

MLA: Prakoso, Bagas Sakamulia, Ivanna Timotius, and Iwan Setyawan. "Palmprint Identification for User Verification based on Line Detection and Local Standard Deviation." Proceedings of the The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014), Semarang 2014. 155 - 159.

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