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Article type: Research Article
Authors: Ambeth Kumar, V.D.a; * | Malathi, S.a | Venkatesan, R.b | Ramalakshmi, K.b | Vengatesan, K.c | Ding, Weipingd | Kumar, Abhisheke
Affiliations: [a] Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India | [b] Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. | [c] Department of Computer Science and Engineering, Sanjivani College of Engineering, Kopargaon, India | [d] School of Information Science and Technology, Nantong University, Nantong, China | [e] Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India
Correspondence: [*] Corresponding author. V.D. Ambeth Kumar, Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, 600123, India. E-mail: [email protected].
Abstract: Foot print, a distinct parameter, is commonly associated with biometrics. Though several methods have been developed in the field of automated biometric based identification, foot print recognition has different characteristics and plays a pivotal role for identification. In this modern world, it is invariably required to have enhanced security and footprint is one such biometric system which is useful for providing authentication and identification. Footprint is also gaining popularity as a technology to identify new born babies at hospitals. The continuous growth in human population necessitates the absolute need for unique identification technique. Recently, there are several incidences of security breach in hospitals where improper tagging of babies lead to child theft and child mismatch. The main objective of this work is to identify a new foot parameter by using two newly proposed algorithms, which helps in better recognition of the foot image. The foot feature extraction methodologies and the procedure for image recognition have been briefly described. The proposed work also highlights the future work to be carried out in this aspect.
Keywords: Features, foot images, filters, matching
DOI: 10.3233/JIFS-190982
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2181-2196, 2020
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