Biometric recognition: why not massively adopted yet?
Not on the map. Why?
Abstract (arXiv)
Although there has been a dramatically reduction on the prices of capturing devices and an increase on computing power in the last decade, it seems that biometric systems are still far from massive adoption for civilian applications. This paper deals with the causes of this phenomenon, as well as some misconceptions regarding biometric identification.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 0 of its 15 references that are in the map. First posted on arXiv 23 Feb 2022.
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Citing papers per year: 2022: 5.
5 papers.
- 2022Biometric identification by means of hand geometry and a neural net classifiercited by 1
- 2022Study of a committee of neural networks for biometric hand-geometry recognitioncited by 1
- 2022Fast on-line signature recognition based on VQ with time modelingcited by 0
- 2022Biometric verification of humans by means of hand geometrycited by 0
- 2022Hand Geometry Based Recognition with a MLP Classifiercited by 0
- 2022Hand Geometry Based Recognition with a MLP Classifier16 Apr 2022
- 2022Biometric verification of humans by means of hand geometry16 Apr 2022
- 2022Study of a committee of neural networks for biometric hand-geometry recognition8 Apr 2022
- 2022Biometric identification by means of hand geometry and a neural net classifier8 Apr 2022
- 2022Fast on-line signature recognition based on VQ with time modeling23 Mar 2022