Face recognition is a method used to identify or verify the person based on digital image from unique face humans. The biometrics and face recognition is based an individual and unique person identification. This process fully based on compare the image with other person image for identification. This is the one of the way to do the comparison by selected facial features from the image and a fa...

When the talker’s face (visual speech) can be seen, speech perception is both facilitated (for congruent visual speech) and interfered with (for incongruent visual speech). The current study investigated whether the degree of these visual speech effects was affected by the presence of an additional irrelevant talking face. In the experiment, auditory speech targets (vCv syllables) were presente...

BACKGROUND Deficits in face emotion recognition (FER) in schizophrenia are well documented, and have been proposed as a potential intermediate phenotype for schizophrenia liability. However, research on the relationship between psychosis vulnerability and FER has mixed findings and methodological limitations. Moreover, no study has yet characterized the relationship between FER ability and leve...

Speaker recognition in real environment with reliable mode is a key challenge for ubiquitous service in human computer interface. In this paper, we present a robust multimodal speaker identification system with optimized reliability of different modalities. We propose an extension of modified convection function’s optimizing factors to account optimum reliability simultaneously in audio, face a...

The Support Vector Machine (SVM) is a statistic learning technique proposed by Vapnik and his research group [8]. In this paper, we benchmark SVMs on a face identi cation problem and propose two approaches incorporating SV classi ers. The rst approach maps the images in to a low dimensional features vector via a local Principal Component Analysis (PCA), features vectors are then used as the inp...

The estimation of soft biometric features related to a person standing in front an advertising screen plays a key role in digital signage applications. Information such as gender, age, and emotions of the user can help to trigger dedicated advertising campaigns to the target user as well as it can be useful to measure the type of audience attending a store. Among the technologies useful to moni...

Most of the biometric research being done is for adults and the identification accuracy of new born are least reported in the literatures. In this paper we propose a novel biometric identification method for new born babies using their face and soft biometrics. Accurate patient identification (ID) is essential for patient safety, especially with our smallest and most vulnerable podiatric patien...

In general, most systems for face and speaker identification are tested on high quality data collected in well-lit and quiet environments. In this study, we investigate the application of existing face and speaker identification techniques to the task of user authentication on a handheld device. In this context, the audio/visual capture hardware is of lower quality than equipment typically used...

Accounting for the finding that brief prime durations facilitate perception of immediate word repetitions whereas long prime durations are detrimental, Huber and O’Reilly (2003) proposed a neural network model in which the unwanted effects of perceptual persistence are counteracted through activity dependent synaptic depression. Rieth and Huber (in prep) found similar results with immediate fac...