Journal article Open Access

Face and Thumb Based Multimodal Bio-Metric Authentication using Harris Feature Extraction and Stenography

Pallavi S Biradar; Anand Jatti

Sponsor(s)
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)

In the past recent, identification of a person in an effective manner is a foremost concern for any security authentication in numerous applications such as, banking, e-commerce, communications etc. One of the best identification technology for person identification and authentication compared with the existing password based authentication is the multimodal biometric technology. Multimodal can be defined as, a system which uses two or more biometrics for identification of person. In the paper we propose a multimodal bio-metric system with a unique methodology and features extraction method incorporated in system for a secure authentication. The two modalities used in the system are face and thumb. We use Harris based image feature extraction for both and choose the best unique features from both and fused using concatenation. The extracted unique features are embedded in a cover image using modulo operator based steganography technique. This encrypted data is shared as an image file to the receiver for authentication. At the receiver end the hidden features are decrypted and separated into face and thumb features. These decrypted features are compared with the pre-trained authorized person feature, based on the multi-svm classifier result the person is decided as authorized or unauthorized. The accuracy of the system is been calculated and was resulted in a good accuracy. The system can be made much more secure by adding an additional secret key for encryption and decryption.

Files (445.2 kB)
Name Size
C4629099320.pdf
md5:d32c4fcd95a56ae0ba6ac1cc744c161b
445.2 kB Download
23
10
views
downloads
Views 23
Downloads 10
Data volume 4.5 MB
Unique views 18
Unique downloads 10

Share

Cite as