Multi-Modal Biometric: Bi-Directional Empirical Mode Decomposition with Hilbert-Hung Transformation
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 6
Abstract
Biometric systems (BS) helps in reorganization of individual person based on the biological traits like ears, veins, signatures, voices, typing styles, gaits, etc. As, the Uni-modal BS does not give better security and recognition accuracy, the multimodal BS is introduced. In this paper, biological characters like face, finger print and iris are used in the feature level fusion based multimodal BS to overcome those issues. The feature extraction is performed by Bi-directional Empirical Mode Decomposition (BEMD) and Grey Level Co-occurrence Matrix (GLCM) algorithm. Hilbert-Huang transform (HHT) is applied after feature extraction to obtain local features such as local amplitude and phase. The combination of BEMD, HHT and GLCM are used for achieving effective accuracy in the clas-sification process. MMB-BEMD-HHT method is used in Multi-class support vector machine technique (MC-SVM) as a classifier. The false rejection ratio has improved using feature level fusion (FLF) and MC-SVM technique. The performance of MMB-BEMD-HHT method is measured based on the parameters like False Acceptance Ratio (FAR), False Rejection Ratio (FRR), and accuracy and compared it with an existing system. The MMB-BEMD-HHT method gave 96% of accuracy for identifying the biometric traits of individual persons.
Authors and Affiliations
Gavisiddappa Gavisiddappa, Chandrashekar Mohan Patil, Shivakumar Mahadevappa, Pramod KumarS
Keywords
Related Articles
- EP ID EP597480
- DOI 10.14569/IJACSA.2019.0100669
- Views 118
- Downloads 0
A Mobile-based Tremor Detector Application for Patients with Parkinson’s Disease
Parkinson’s disease affects millions of people worldwide and its frequency is steadily increasing. No cure is currently available for Parkinson’s disease patients, and most medications only treat the symptoms. This treat...
An enhanced Scheme for Reducing Vertical handover latency
Authentication in vertical Hand over is a demanding research problem. Countless methods are commenced but all of them have insufficiencies in term of latency and packet loss. Standard handover schemes (MIPv4, MIPv6...
Bootstrapping Domain Knowledge Exploration using Conceptual Mapping of Wikipedia
Wikipedia is one of the largest online encyclopedias that exist in a hypertext form. This nature prevents Wikipedia’s potential to be fully discovered. Therefore the focus of this paper is on the role of domain knowledge...
An Automatic Dysarthric Speech Recognition Approach using Deep Neural Networks
Transcribing dysarthric speech into text is still a challenging problem for the state-of-the-art techniques or commercially available speech recognition systems. Improving the accuracy of dysarthric speech recognition, t...
Achieving Regulatory Compliance for Data Protection in the Cloud
The advent of cloud computing has enabled organizations to take advantage of cost-effective, scalable and reliable computing platforms. However, entrusting data hosting to third parties has inherent risks. Where the data...