Multimodal biometric systems utilize multiple biometric sources in order to increase robustness as compared to single biometric system. Most of the biometric systems in real are single or multimodal authentication system. This paper presents an efficient multimodal low resolution face and finger veins biometric recognition system based on class specific liner discriminant to client specific dis...

Multimodal dialogue systems allow users to input information in multiple modalities. These systems can handle simultaneous or sequential composite multimodal input. Different coordination schemes require such systems to capture, collect and integrate user input in different modalities, and then respond to a joint interpretation. We performed a study to understand the variability of input in mul...

Human-to-human conversation remains such a significant part of our working activities because of its naturalness. Multimodal interaction systems combine visual information with voice, gestures, and other modalities to provide flexible and powerful dialogue approaches. The use of integrated multiple input modes enables users to benefit from the natural approach used in human communication. In th...

BACKGROUND AND PURPOSE Patients with acute ischemic stroke require immediate medical treatment, and a CT to rule out hemorrhage is required before tPA. We adapted our protocol to include multimodal CT: unenhanced CT, CTA, and PCT. The purpose of this study was to determine whether multimodal CT imaging delays initiation of IV tPA beyond 60 minutes from hospital arrival. MATERIALS AND METHODS ...

Recent scientific investigations indicate that multimodal biometrics overcome the technical limitations of unimodal biometrics, making them ideally suited for everyday life applications that require a reliable authentication system. However, for a successful adoption of multimodal biometrics, such systems would require large heterogeneous datasets with complex multimodal fusion and privacy sche...

The development of software brings together participants from different backgrounds, such as domain experts, analysts, designers, programmers, managers, technical writers, graphic designers, and users. No single participant can understand or control all aspects of the system under development, and thus, all participants depend on others to accomplish their work. Moreover, any change in the syst...

Modern user interfaces can take advantage of multiple input modalities such as speech, gestures, handwriting... to increase robustness and flexibility. The construction of such multimodal interfaces would be greatly facilitated by a unified framework that provides methods to characterize and interpret multimodal inputs. In this paper we describe a semantic model and a multimodal grammar structu...

In certain applications based on multimodal interaction it may be crucial to determine not only what the user is doing (commands), but who is doing it, in order to prevent fraudulent use of the system. The biometric technology, and particularly the multimodal biometric systems, represent a highly efficient automatic recognition solution for this type of applications. Although multimodal biometr...

The last few years have seen the release of an increasing number of new IT-related devices into the marketplace that have started to utilize tactile feedback. These include those devices incorporating a touch screen that make multimodal feedback incorporating the delivery of two or more sensory modalities possible. The commonly-held view is that the use of such multimodal (or multisensory) feed...

This research proposes a multimodal multifeature biometric system for human recognition using two traits, that is, palmprint and iris. The purpose of this research is to analyse integration of multimodal and multifeature biometric system using feature level fusion to achieve better performance. The main aim of the proposed system is to increase the recognition accuracy using feature level fusio...