Abstract
There is a rapidly expanding need for biometric authentication. In the field of image processing, it has been noted that a multimodal approach is still required. Security-conscious individuals in both the public and private spheres increasingly rely on biometric technologies like facial recognition and iris detection. This article discusses the multimodal approach to biometric identification, focusing on face and iris recognition. A great deal of study has centered on biometric identification, and many of these studies have used a multimodal approach. The subjects of some studies have been eyes, while others have zeroed in on faces. The limitations of past research methods and procedures were discussed in this study. Further study using a multimodal approach is called for in the report, particularly in the areas of face and iris recognition.
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Sonal, Singh, A., Kant, C. (2023). Reviewing Scope of Multimodal Approach in Face and Iris Recognition. In: Ramdane-Cherif, A., Singh, T.P., Tomar, R., Choudhury, T., Um, JS. (eds) Machine Intelligence and Data Science Applications. MIDAS 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1620-7_10
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