Abstract
Authentication is a major gateway towards exploring unsecure treasure of information and data. In today’s modern technology driven society requires a full proof validation and authentication mechanism. Henceforth, this paper discusses on the finger vein pattern extraction and processed based on dual mode authentication system. Typically, the finger vein print based authentication is saturated research field and thus the paper explores authentication based on the pattern rather than print. The technique develops a Dynamic Finger Vein Extraction for dis-Sampled Datasets (DFVdSD). The technique provides an internal level enhancive approach of understanding and processing the finger vein patterns. The process is then authenticated with dual model of signal validation, the patterns of each finger vein is further synchronized with user signal data. Thus making the system secure and unbreakable. The technique also evaluates techniques on untrained dataset classification.
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31 October 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s10772-022-10002-z
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Sujani, G., Reddy, G.M.S. RETRACTED ARTICLE: A dual mode authentication technique of finger vein patterns extraction using synchronized speech signals. Int J Speech Technol 24, 637–642 (2021). https://doi.org/10.1007/s10772-021-09812-4
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DOI: https://doi.org/10.1007/s10772-021-09812-4