Authentication Login E-Library with Multimodal Biometrics System

Pandapotan Siagian, Kurniabudi ., Erick Fernando, Herry Mulyono


Previous studies with the title of the login authentication e-library with method of CBIR for matching face, have proved reaching the level of accuracy about 75%. This multiple verification of QR-code/QR-CMBS this process data among other things the identity ID, fingerprint patterns and pattern signatures. Each user can have a QR-CMBS, which is used to login to the e-library. This research-oriented system development with application authentication login with QR code/QR-QR, Data of the CMBS will store data from bineri identity ID, fingerprint patterns and pattern signatures.The advantage of Retrieval CBIR is the popularity and test result with a high degree of accuracy and time parameters. The results obtained from QR-CMBS every training, i.e. classify and determine the value of fingerprint patterns and signatures for each label. Feature extraction results are temporarily stored in the session database and compare the features that are stored in the database image classification. The most similar classification results will be displayed, i.e. QR-CMBS, fingerprints and signatures, as well as verification of login. The application login authentication system of e-library uses to calculate the similarity of this research, will be able to extract the feature of colour, texture and edge of a multiple verification of QR-code/ QR-CMBS, fingerprint and signature by using the Prewitt gradient. The result of the extraction process feature is then used by the software in the learning process and calculates the similarity. Learning image contained in 3 classes features a picture that is stored in the database query 100 png images and the image of the sample test with the size 400 x 400. The results showed that the combination of the Prewitt filter extraction gradient magnitude. Verification data classification compared to the three classes, namely QR-CMBS, fingerprints and signatures contained in the database. Response time to find the most CMBS-QR is similar to 10 sample data, giving the effect of a higher degree of accuracy that is 97%.


Multimodal biometrics system; Calculate similarity; CBIR image; gradient magnitude Prewitt


A. Ross & A. K. Jain, Information Fusion in Biometrics, Pattern Recognition Letters, 24 (13), pp. 2115-2125, 2003.

A.S. Tolba & A. A. Rezq. 2000. Combined Classifier for Invariant Face Recognition, Pattern Analysis and Applications, 3(4), pp. 289-302

D. Maltoni, D. Maio, A.K. Jain, S. Prabhakar. 2003. Handbook of Fingerprint Recognition. Springer, New York.

Digital Signature Standard (DSS). 2007. FIPS PUB 186-3.

A. Sun et al. 2007. The QR-code reorganization in illegible snapshots taken by mobile phones. In Proc. Int. Conf. on Computational Sci. and its Application, pp.532-538.

John Eakins and Margaret Graham.1999. Content Based Image Retrieval. Chatpter 5.6, pg 36-40, University of Northrumbia at New Castle, October 1999.

J. Z. Gao. 2007. Understanding 2D-barcode technology and applications in M-commerce – design and implementation of a 2D barcode processing solution. In Proc. Int. Conf. on Computing. Software and Application, pp. 49 – 56, 2007.

L. Hong, A. Jain & S. Pankanti. 1999. Can Multibiometrics Improve performance, Proceedings of AutoID 99, pp. 59-64.

Maykin Warasart, and Pramote Kuacharoen.2012. Paper-based Document Authentication using Digital Signature and QR Code. 4TH International Conference on Computer Engineering and Technology (ICCET 2012)

Public Key Cryptography for the Financial Services Industry. 2005. The Elliptic Curve Digital Signature Algorithm (ECDSA), ANSI X9.62.

Prewitt, J. 1986. A Computational Approach to Edge Detection. IEEE Trans. Pattern Analysis and Machine Intelligence.

Pandapotan Siagian. 2013. Perancangan Autentikasi Login E-Library Dengan Template Matching (Studi Kasus: STIKOM DB Jambi). Prosiding Konferensi Nasional Sistem Informasi (KNSI), ISSN 978-602-17488-0-0, Lombok.

Pandapotan Siagian. 2013. Identifikasi Pola Ridge Fingerfrint Berbasis Web PHP. Proceedings Seminar Nasional Ilmu Komputer (SNIKOM), ISBN 979-458-684-6, Medan.

Pandapotan Siagian 2013. Development System with the Attendance of Content Based Image Retrieval (CBIR). Information Systems International Conference (ISICO), Bali.

R.L. van Renesse. 1997. Paper-based document security–A Review,” in European Conf. on Security and Detection.

Shiyang Liu 2010. Anti-counterfeit System Based on Mobile Phone QR Code and Fingerprint. Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2nd International Conference on , vol.2, no., pp.236,240, 3(4), pp. 289-302.

Querini, M.; Italiano, G.F. 3012. Facial biometrics for 2D barcodes. Computer Science and Information Systems (FedCSIS).

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