A Novel Algorithm for Feature Level Fusion Using SVM Classifier for Multibiometrics-Based Person Identification
Recent times witnessed many advancements in the field of biometric and ultimodal biometric fields. This is typically observed in the area, of security, privacy, and forensics. Even for the best of unimodal biometric systems, it is often not possible to achieve a higher recognition rate. Multimodal b...
Saved in:
| Main Authors: | Ujwalla Gawande, Mukesh Zaveri, Avichal Kapur |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2013/515918 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi‐task learning using GNet features and SVM classifier for signature identification
by: Anamika Jain, et al.
Published: (2021-03-01) -
SVM-RFE Based Feature Selection and Taguchi Parameters Optimization for Multiclass SVM Classifier
by: Mei-Ling Huang, et al.
Published: (2014-01-01) -
Computational intelligence in the identification of Covid-19 patients by using KNN-SVM Classifier
by: shaymaa adnan
Published: (2024-12-01) -
Effective Epileptic Seizure Detection with Hybrid Feature Selection and SMOTE-Based Data Balancing Using SVM Classifier
by: Hany F. Atlam, et al.
Published: (2025-04-01) -
Speech Emotion Recognition Using a Multi-Time-Scale Approach to Feature Aggregation and an Ensemble of SVM Classifiers
by: Antonina STEFANOWSKA, et al.
Published: (2024-03-01)