Comparison of accuracy performance based on normalization techniques for the features fusion of face and online signature

• Main Authors: Suryanti, Awang, Junaida, Sulaiman, Noorhuzaimi@Karimah, Mohd Noor, Bayuaji, Luhur
• Format: Article
• Language: English
• Published: Publishing Technology 2017
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/29064/1/Comparison%20of%20accuracy%20performance%20based%20on%20normalization%20techniques%20.pdf; http://umpir.ump.edu.my/id/eprint/29064/; https://doi.org/10.1166/asl.2017.10257; https://doi.org/10.1166/asl.2017.10257
• Institution: Universiti Malaysia Pahang

Feature level fusion in multimodal biometrics system is able to produce higher accuracy compared to score level and decision level of fusion due to the richer information provided. Features from multi modalities are fused prior to a classification phase. In this paper, features from face (image base...