Fingerprint Reconstruction using AVAE Algorithm

Fingerprint recognition stands out as a crucial area of study in the forensic department. There are many challenges that persist in the fingerprint reconstruction field particularly partial and low-quality fingerprint impressions. This paper presents fingerprint reconstruction using Adversarial Vari...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:2024 Asian Conference on Intelligent Technologies (ACOIT) s. 1 - 4
Hlavní autori: Uma Mageswari, T, Nivetha, A, Jagajanani, S D, Aadithya, S
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 06.09.2024
Predmet:
Adversarial Variational Autoencoders
Autoencoders
Biological system modeling
Fingerprint recognition
Fingerprint reconstruction
Forensics
Generative adversarial networks
Image reconstruction
Mean square error methods
Measurement
Overfitting
Training
Variational Autoencoders
ISBN:9798350374933
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Fingerprint recognition stands out as a crucial area of study in the forensic department. There are many challenges that persist in the fingerprint reconstruction field particularly partial and low-quality fingerprint impressions. This paper presents fingerprint reconstruction using Adversarial Variational Autoencoders. Here, we introduce an integrated model that blends the generative capabilities of Variational Autoencoders with adversarial training from Generative Adversarial Networks. This approach holds potential implications for enhancing biometric and forensic analysis with quality and completeness of fingerprint data.
ISBN:9798350374933
DOI:10.1109/ACOIT62457.2024.10939512