Facial identification of twins based on fusion score method

K Sudhakar, P Nithyanandam - Journal of Ambient Intelligence and …, 2021 - Springer
Face recognition system contains lots of challenges due to various environmental factors,
background variations, poor quality of camera, different illumination and others. Since twins …

Feature level Fusion for Multi-biometric with identical twins

BO Mohammed, SM Shamsuddin - … international conference on …, 2018 - ieeexplore.ieee.org
The power of multi-biometric fusion for identical twins at the feature-level with Dis-Mean
algorithm is addressed in this work. A feature-fusion framework is geared toward improving …

[PDF][PDF] Individuality representation using multimodal biometrics with aspect unieted moment invariant for identical twins

BO Mohammed, ZM Hashim - Journal of Theoretical and Applied …, 2020 - jatit.org
In essence, a biometric system comprises a pattern recognition system that obtains a
person's biometric data from which a feature is set and then extracted. Upon setting the …

[PDF][PDF] Multimodal biometrics scheme based on discretized eigen feature fusion for identical twins identification

BO Mohammed - 2020 - core.ac.uk
The subject of twins multimodal biometrics identification (TMBI) has consistently been an
interesting and also a valuable area of study. Considering high dependency and …

Facial image analysis using Ratio-Fusion-Score based approach to support Forensic Investigation

D Waikar - Manipal Journal of Science and Technology, 2020 - impressions.manipal.edu
In recent years, the face recognition field has attained high performance in the identification
of a person. Facial recognition algorithms should be able to perform even in the case of …

[引用][C] TWINS MULTIMODAL BIOMETRIC IDENTIFICATION SYSTEM WITH ASPECT UNITED MOMENT INVARIANT.

BO Mohammed, S SHAMSUDDIN - Journal of Theoretical & Applied Information …, 2017

[引用][C] GLOBAL FEATURES WITH IDENTICAL TWINS BIOMETRIC IDENTIFICATION SYSTEM.

BO MOHAMMED, S SHAMSUDDIN - Journal of Theoretical & Applied Information …, 2017