Open AccessSynthesis of Palm Print in Feature Fusion Techniques for Multimodal Biometric Recognition System Online Signature
Author(s) -
T. Vijayakumar
Publication year - 2021
Publication title -
journal of innovative image processing
Language(s) - English
Resource type - Journals
ISSN - 2582-4252
DOI - 10.36548/jiip.2021.2.005
Subject(s) - biometrics , palm print , computer science , identification (biology) , authentication (law) , feature (linguistics) , iris recognition , artificial intelligence , face (sociological concept) , computer security , machine learning , human–computer interaction , linguistics , philosophy , botany , biology , social science , sociology
Biometric identification technology is widely utilized in our everyday lives as a result of the rising need for information security and safety laws throughout the world. In this aspect, multimodal biometric recognition (MBR) has gained significant research attention due to its ability to overcome several important constraints in unimodal biometric systems. Henceforth, this research article utilizes multiple features such as an iris, face, finger vein, and palm print for obtaining the highest accuracy to identify the exact person. The utilization of multiple features from the person improves the accuracy of biometric system. In many developed countries, palm print features are employed to provide the most accurate identification of an actual individual as fast as possible. The proposed system can be very suitable for the person who dislikes answering many questions for security authentication. Moreover, the proposed system can also be used to minimize the extra questionnaire by achieving a highest accuracy than other existing multimodal biometric systems. Finally, the results are computed and tabulated in this research article.