We present a work in progress of a computer vision application that would directly impact the delivery of healthcare in underdeveloped countries. We describe the development of an image-based smartphone application prototype for ear biometrics. The application targets the public health problem of managing medical records at on-site medical clinics in less developed countries where many individu...

The elements of multimodal authentication along with system models are presented. These include the machine experts as well as machine supervisors. In particular fingerprint and speech based systems will serve as illustration of a mobile authentication application. A novel signal adaptive supervisor, based on the input biometric signal quality is evaluated. Experimental results on data collecte...

Mobile platforms use biometrics for authentication. Unfortunately, biometrics exhibit noise between repeated readings. Due to the noise, biometrics are stored in plaintext, so device compromise completely reveals the user’s biometric value. To limit privacy violations, one can use fuzzy extractors to derive a stable cryptographic key from biometrics (Dodis et al., Eurocrypt 2004). Unfortunately...

This paper presents research-in-progress on a colour based method of object segmentation for use in biometric security methods on mobile devices. The limited processing capability of mobile devices has restricted the computational complexity of security algorithms that can be used. The purpose of our system is to use a colour based method to reduce the amount of information that must be process...

In this article an in-air signature biometric technique is proposed. Users would authenticate themselves by performing a 3-D gesture invented by them holding a mobile device embedding an accelerometer. All the operations involved in the process are carried out inside the mobile device, so no additional devices or connections are needed to accomplish this task. In the article, 34 different users...

The popularity of mobile devices and the evolving nature of the services and information they can delivery make them increasingly desirable targets for misuse. The ability to provide effective authentication of the user becomes imperative if protection against misuse of personally and financially sensitive information is to be provided. Traditional measures, such as the PIN, although commensura...

Recent popularity in mobile devices has raised concerns on mobile technology security, as not only sensitive and private data are being stored on mobile devices, but also allowing remote access to other high value assets. This drives research efforts to new mobile technology security methods. Fortunately, new mobile devices are equipped with advanced sensor suite, enabling a multi-modal biometr...

Transparent authentication based on behavioral biometrics has the potential to improve the usability of mobile authentication due to the lack of a possibly intrusive user interface. Keystroke dynamics, or typing behavior, is a potentially rich source of biometric information for those that type frequently, and thus has been studied widely as an authenticator on touch-based mobile devices. Howev...

Recent research has questioned the fairness of face-based recognition and attribute classification methods (such as gender race) for dark-skinned people women. Ocular biometrics in visible spectrum is an alternate solution over face biometrics, thanks to its accuracy, security, robustness against facial expression, ease use mobile devices. With recent COVID-19 crisis, ocular a further advantage...

In this paper, a patient mobile monitoring enabling framework is presented. To this end, biometric devices (e.g. glucometers, blood pressure meters) are used to send data to the mobile phone via technologies such as NFC or Bluetooth among others. These data are complete by the doctor for the patient control. An ontological architecture has been built up to allow the cataloguing of the framework...