Hand Geometry Recognition System: Hand geometry

Hand Geometry Recognition System

Hand geometry

Authors

  • mais mudhafer taher al mossawy bachelor of computers

DOI:

https://doi.org/10.31185/wjcm.59

Abstract

This paper presents a useful biological approach for hand geometrybased recognition systems. Measurable hand geometry such as width, length, and

finger area, were used to generate feature vectors. As useful properties, thirtyfive hand-shaped geometry scales are used. Artificial neural networks are used as

distinct classifiers. The experimental result of all dataset reaches to the

performance of 98.30% as recognition rate

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Published

2022-10-01

How to Cite

al mossawy, mais mudhafer taher. (2022). Hand Geometry Recognition System: Hand geometry. Wasit Journal of Computer and Mathematics Sciences, 1(3), 32–38. https://doi.org/10.31185/wjcm.59

Issue

Section

Computer
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