CVApr 8, 2022
Biometric identification by means of hand geometry and a neural net classifier
arXiv:2204.03925v112 citationsh-index: 34
Originality Synthesis-oriented
AI Analysis
This work addresses biometric identification for security applications, but it is incremental as it applies existing methods to a new dataset.
The paper tackled biometric identification using hand geometry and neural networks, achieving an identification rate based on a database of 22 people.
This Paper describes a hand geometry biometric identification system. We have acquired a database of 22 people using a conventional document scanner. The experimental section consists of a study about the discrimination capability of different extracted features, and the identification rate using different classifiers based on neural networks.