An Over view on Identical Twins with Uni- and Multi-biometric Identification

Bayan Mohammed, Siti Mariyam Shamsuddin

Abstract


The biometric techniques could differentiate identical twins and this makes the techniques a subject of interest. Studies on biometric techniques have been conducted in many disciplines. Conversely, Unimodal biometric systems with twins have issues including intra-class variations, noisy data, limited freedom level, non-universality, spoof attacks, and intolerable rates of error. Several of these limitations are manageable through the use of multimodal biometric systems that combine the evidence brought by many sources information. This survey highlights the relevant literature, the accessible datasets for research and the subjects of uncertainty, aside from proposing prospective future research.


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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.