Browsing by Subject "median adaptive local binary pattern"

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Access status: Open Access ,
Attention-based multiple-representation method for fingerprint-presentation-attack detection
(Wydawnictwa AGH, 2025) Uttam, Atul Kumar; Agrawal, Rohit; Jalal, Anand Singh
Fingerprint biometrics are one of the most common authentication mechanisms; however, such systems are often compromised by presentation attacks that are made by presentation-attack instruments. Most fingerprint-presentationattack- detection approaches show poor performance due to the large variations in the presentation-attack instruments and the limited feature representation of the input fingerprint. Therefore, this article proposes a hybrid model of shallow and deep features with multiple representations of input fingerprints. To obtain these shallow and deep features, we first enhanced the texture of the input fingerprint through a novel median adaptive local binary pattern filter and an existing binarized statistical image feature. After this, the input fingerprint image and two textured enhanced images are concatenated along with the channel dimension for multiple representations. Finally, an extended ResNeXt architecture with channel and spatial attention (EResNeXt) was used for relevant feature extraction and presentation attack detection. EResNeXt was evaluated in the LivDet-2015 and LivDet-2017 data sets, and ACEs (average classification errors) were obtained at 0.94 and 0.49, respectively.