Proceedings ArticleDOI
Fingerprint sensor classification via Mélange of handcrafted features
Akshay Agarwal,Richa Singh,Mayank Vatsa +2 more
- pp 3001-3006
TLDR
This paper presents a novel fingerprint sensor identification algorithm based on multiple features such as Haralick, entropy, statistical and image quality features that achieves an accuracy of 96% and computationally requires less than 10 milliseconds for an image.Abstract:
Large scale biometrics projects rely on capturing images/signal from multiple sensors. For example, in India's Aadhaar project, multiple fingerprint sensors of different make and model are used for data collection. Similarly, in law enforcement applications, different agencies use different fingerprint sensors. These scenarios cause two potential problems: (i) sensor inter-operability and (ii) protecting/recording chain of evidence. While sensor inter-operability in fingerprints is a well studied problem, automatically recording chain of evidence is a relatively less explored research problem. For both the problems, one potential approach includes automatically identifying sensors based on the input image. This paper presents a novel fingerprint sensor identification algorithm based on multiple features such as Haralick, entropy, statistical and image quality features. The proposed algorithm is evaluated on a large database with 30,000 images with 15 fingerprint sensor classes. The proposed algorithm achieves an accuracy of 96% and computationally requires less than 10 milliseconds for an image.read more
Citations
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Journal ArticleDOI
A survey on digital camera identification methods
TL;DR: Methods dealing with camera's photo response non uniformity (PRNU) identification, statistical methods, analysis of camera's optical defects, machine learning and deep models which include convolutional neural networks are investigated.
Proceedings ArticleDOI
Biases in Fingerprint Recognition Systems: Where Are We At?
TL;DR: Examining biases affecting fingerprint technology from a holistic perspective as well as enumerating the fundamental challenges encountered by current systems operating in real-world applications are enumerated.
Proceedings ArticleDOI
Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters
TL;DR: This research presents a novel scheme termed as Camera Inspired Perturbations to generate adversarial noise, which is model-agnostic and can be utilized to fool multiple deep learning classifiers on various databases.
Journal ArticleDOI
Iris sensor identification in multi-camera environment
Akshay Agarwal,Rohit Keshari,Manya Wadhwa,Mansi Vijh,Chandani Parmar,Richa Singh,Mayank Vatsa +6 more
TL;DR: This research proposes an efficient algorithm to identify the sensor from which the iris image is captured and shows that the proposed sensor classification algorithm is computationally very fast and yields an accuracy of over 99% on multiple databases.
Journal ArticleDOI
Density estimation of grey-level co-occurrence matrices for image texture analysis.
Anders Garpebring,Patrik Brynolfsson,Peter Kuess,Dietmar Georg,Thomas H. Helbich,Tufve Nyholm,Tommy Löfstedt +6 more
TL;DR: The purpose of this work was to investigate the performance of density estimation methods for approximating the GLCM and subsequently the corresponding invariant features and found that the Gaussian mixture model is the preferred method for the first type of features (in particular for small ROIs).
References
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Journal ArticleDOI
Textural Features for Image Classification
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
Journal ArticleDOI
A Tutorial on Support Vector Machines for Pattern Recognition
TL;DR: There are several arguments which support the observed high accuracy of SVMs, which are reviewed and numerous examples and proofs of most of the key theorems are given.
Journal ArticleDOI
Floating search methods in feature selection
TL;DR: Sequential search methods characterized by a dynamically changing number of features included or eliminated at each step, henceforth "floating" methods, are presented and are shown to give very good results and to be computationally more effective than the branch and bound method.
Journal ArticleDOI
Enhancing security and privacy in biometrics-based authentication systems
TL;DR: The inherent strengths of biometrics-based authentication are outlined, the weak links in systems employing biometric authentication are identified, and new solutions for eliminating these weak links are presented.
Journal ArticleDOI
Digital camera identification from sensor pattern noise
TL;DR: A new method is proposed for the problem of digital camera identification from its images based on the sensor's pattern noise, which serves as a unique identification fingerprint for each camera under investigation by averaging the noise obtained from multiple images using a denoising filter.