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Image enhancement is a common pre-processing step before the extraction of biometric features from a fingerprint sample. This can be essential especially for images of low image quality. An ideal fingerprint image enhancement should intend to improve the end-to-end biometric performance, i.e. the performance achieved on biometric features extracted from enhanced fingerprint samples. We use a model...
Multispectral face recognition systems are widely used in various access control applications. The vulnerability of multispectral face recognition sensors towards low-cost Presentation Attack Instrument (PAI) such as printed photos used in attacks has emerged as a serious security threat. In this paper, we present a novel framework to detect presentation attacks against an extended multispectral face...
With the availability of sensor technology across the broad electromagnetic spectrum, multi-spectral imaging is increasingly used in biometric systems. Especially for face recognition, multi-spectral imaging has gained a lot of attention due to it's invariant property against variation caused by unknown illumination. However, obtaining best performance using multi-spectral imaging is still a challenge...
Periocular characteristics has gained substantial importance in recent times to supplement the performance of facial biometrics or as a stand-alone characteristics. While most of the current biometric systems for authentication or surveillance operate either in NIR spectrum or visible spectrum, the ocular information can be well utilized if a comparison of images from different spectra has to be conducted...
Face biometrics is widely used in various applications including border control and facilitating the verification of travellers' identity claim with respect to his electronic passport (ePass). As in most countries, passports are issued to a citizen based on the submitted photo which allows the applicant to provide a morphed face photo to conceal his identity during the application process. In this...
The wide deployment of biometric recognition systems has raised several concerns regarding their security. Among other threats, morphing attacks consist of the infiltration of artificial images created using biometric information of two or more subjects. These morphed images are hence positively matched to several subjects. Recent studies have shown that such images pose a concrete threat to civil...
Recognizing individuals in unconstrained environments without their cooperation, e.g. based on surveillance imagery, represents an active field of research. Non-cooperative iris recognition based on images captured at visible wavelength (VW) represents an extremely challenging task. To enhance the reliability of recognition systems using VW iris images, and to enable their use in forensic applications,...
This work examines feature level fusion for protected biometric templates in a multi-biometric authentication system for smartphones. The modalities incorporated by the system are face and the left-right periocular region. The fusion methods considered are concatenation of the templates obtained from the three modalities, and combining the three templates using a simple XOR operation by varying the...
Multi-spectral face recognition has been an active area of research over the past few decades. However, the vulnerability of multi-spectral face recognition systems is a growing concern that argues the need for Presentation Attack Detection (PAD) (or countermeasure or anti-spoofing) schemes to successfully detect targeted attacks. In this work, we present a novel feature descriptor LαMTiF that can...
Reliability and accuracy of the features extracted from fingerprints are essential for the performance of any fingerprint comparison algorithm. Image Enhancement as a pre-processing step allows to extract features more accurately by enhancing the quality of the fingerprint signal. This work proposes to use De-Convolutional Auto-Encoders for fingerprint image enhancement. Its performance is compared...
In recent years, we have seen huge growth of biometric systems incorporated in devices such as smartphones and security is one of the major concerns. In this work a multi-biometric template protected system is proposed, based on Bloom filers and binarized statistical image features (BSIF). Features are extracted from face and both periocular regions and templates protected using Bloom filters. Score...
Periocular characteristics are being used as a supplementary feature for the biometric systems employing iris characteristics to mitigate effects of the noisy iris on authentication performance. In the same lines, ocular characteristics are also used to enhance the performance of face based systems under the impact of pose, expression and illumination. However, the iris and face systems are operated...
Biometric recognition of an individual can be done based on physiological characteristics such as a face, palmprint, vein, etc. and behavioural characteristics which include gait, keystroke, mouse dynamics, etc. Among the various biometric modalities, the wrist vein recognition has been known for high accuracy, stability and resistance to spoofing. The success of wrist vein biometrics strongly correlates...
Widespread deployment of Automatic Border Control (ABC) along with the electronic Machine Readable Travel Documents (eMRTD) for person verification has enabled a prominent use case of face biometrics in border control applications. Many countries issue eMRTD passports on the basis of a printed biometric face photo submitted by the applicant. Some countries offer web-portals for passport renewal, where...
Ocular recognition on smartphone authentication applications are gaining popularity in academic research and in the commercial sector where operators are requesting reliable and robust biometric authentication. The wide acceptance of such ocular based authentication systems also depends on the verification performance on large scale testing with different data subject ethnic groups and platforms....
Smartphone based periocular recognition has received substantial attention from the biometric research community. In this work, we propose a new scheme for the smartphone based periocular recognition. The proposed scheme is based on the texture features extracted from the periocular images using Maximum Response (MR) filters. These texture features are then classified using a deep neural network based...
Fingerprint indexing has been extensively studied, and a number of approaches have been proposed in the literature. However, the vast majority of proposed approaches are based on original fingerprint templates without applying any protection mechanism. Secure fingerprint indexing algorithm has been rarely investigated. This paper presents a secure fingerprint indexing algorithm whose security is enhanced...
Secure applications like banking and e-commerce allow users to access applications from multiple devices. Growing popularity of biometrics for such applications results in users providing biometrics data from multiple devices of different make and manufacture (smartphones or tablets). The performance of biometric systems degrade generally when the enrollment data and probe data originate from different...
Periocular biometric verification on the smartphone is gaining more popularity with the increasing functionality and accessibility of the services offered using smartphones. However accurate periocular verification requires especially on the smartphone to address several challenges due to the uncontrolled image capturing conditions. In this paper, we present a novel scheme for accurate periocular...
Facial surgeries are inevitably increasing in the modern society due to factors such as consciousness for beauty/appearance either to correct the deformed structure as a result of the injury, trauma or natural process of aging. These surgical changes in the facial structure result in modified appearance of a person, which cannot be modelled using morphological or mathematical approaches. These changes...
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