The underlying idea is to identify the orientation field of a latent patch as one of a set of representative orientation patterns. To achieve this, 128 ...
Inspired by the superiority of convolutional neural networks (ConvNets) for various classification and recognition tasks, a ConvNet based approach is ...
The underlying idea is to identify the orientation field of a latent patch as one of a set of representative orientation patterns. To achieve this, 128 ...
The orientation field of a fingerprint is crucial for fea- ture extraction and matching. However, estimation of ori- entation fields in latents is very ...
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Sep 17, 2020 · Fingerprint matching using an orientation field and quality map (Jain et al., 2008) was developed for matching. ARank-1 identification accuracy ...
In this work, we propose a novel latent fingerprint enhancement method based on FingerNet inspired by recent development of Convolutional Neural Network ...
Jul 31, 2018 · Latent orientation field estimation via convolutional neural network. In Biometrics (ICB), 2015. International Conference on, pages 349–356 ...
Typical local orientation patterns are learnt to convert the orientation field estimation to a classifica- tion task using convolutional neural network (CNN) [4 ...
A new image enhancement approach named BI-CNN (Bent Identity-Convolution Neural Network) with Spatial Pyramid Max Pooling (SPMP) model optimized using TSOA ...
In this work, we propose a novel latent fingerprint enhancement method based on FingerNet inspired by recent development of Convolutional Neural Network ...