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Discriminant analysis is an important technique for face recognition because it can extract discriminative features to classify different persons. However, most existing discriminant analysis methods fail to work for single-sample face recognition (SSFR) because there is only a single training sample per person such that the within-class variation of this person cannot be estimated in such scenario...
Despite the high facial expression recognition accuracy reported on individual databases, cross-database facial expression recognition is still a challenging problem. This is essentially a problem of generalizing a facial expression recognizer trained with data of certain subjects under certain conditions to different subjects and/or different conditions. Such generalization capability is crucial...
Security is an important aspect in the practical deployment of biometric authentication systems. Biometric data in its original form is irreplaceable and thus, must be protected. This often comes at the cost of reduced matching accuracy or loss of the true key-less convenience biometric authentication can offer. In this paper, we address the shortcomings of current face template protection schemes...
Biometric recognition has undoubtedly made great strides over the past 50 years. To ensure that current academic research in biometrics has a positive impact on future technological developments, this paper documents some guidelines encouraging researchers to focus on high-impact problems, develop solutions that are practically viable, report results using sound experimental and evaluation protocols,...
Subspace learning is an important technique to enhance the discriminative ability of feature representation and reduce the dimension to improve its efficiency. Due to limited training samples and the usual high-dimensional feature, subspace learning always suffers from overfitting problem, which affects its generalization performance. One possible method is to introduce prior information as a regularizer...
Locked-in syndrome (LIS) patient cannot communicate verbally due to complete paralysis of nearly all voluntary muscles in the body. Most of them could move their eyes, of which part of them could move their head. It is very important to establish communication channels for LIS patient. In the current study, we developed a speller system based on detecting the nodding movement. The system is easy to...
Recent growth of technology has also increased identification insecurity. Signature is a unique feature which is different for every other person, and each person can be identified using their own handwritten signature. Gender identification is one of key feature in case of human identification. In this paper, a feature based gender detection method has been proposed. The proposed framework takes...
Newborn swapping, missing, mixing, and illegal adoption is a global challenge and to resolve this emerging issue very less research has been done. Most of the biometric systems are developed for adults and extremely few of them address the difficulty of newborn recognition. As they are the highly non cooperative users of biometrics the ear of newborn may be a perfect source of data for passive identification...
Face detection has become a fundamental task in computer vision and pattern recognition applications. This paper describes a system for face detection using data mining approach. The proposed face detection method is a two phase process comprising of training and detection phase. In the training phase, training image is transformed into an edge and non-edge image. Maximal Frequent Itemset Algorithm...
Facial Expressions play major role in interpersonal communication and imparting intelligence to computer for identifying facial expressions is a crucial task. In this paper we present an efficient preprocessing algorithm combined with feature extraction using Local Binary Patterns (LBP) followed by classification using Kullback Leibler (KL) divergence. Firstly Viola Jones algorithm is used to detect...
Currently, map symbols that represent multivariable data sets in thematic map are simple and not good at combined using, they can't satisfy the needs of displaying multiple-index data in mapping process. In this paper, face symbols are used to visualize multiple-variable data sets. Firstly, it analyzes the development of face symbol, then summarizes the steps and rules to design face symbol. At last,...
Due to the ongoing biodiversity crisis, many species including great apes such as chimpanzees or gorillas are threatened and need to be protected. To overcome the catastrophic decline of biodiversity, biologists recently started to use remote cameras for wildlife monitoring. However, the manual analysis of the resulting image and video material is extremely tedious, time consuming, and highly cost...
In this paper, we present two versions of a demonstrator for gaze direction estimation. The first version is based on the analysis and the interpretation of head movements, especially in case of important head rotations. In such a case, we suppose that the gaze direction coincides with the head orientation. The second version of the demonstrator is based on the analysis of the iris centres positions...
Face recognition (FR) is the preferred mode of identity recognition by humans: It is natural, robust and unintrusive. However, automatic FR techniques have failed to match up to expectations: Variations in pose, illumination and expression limit the performance of 2D FR techniques. In recent years, 3D FR has shown promise to overcome these challanges. With the availability of cheaper acquisition methods,...
In this paper, we present a framework for predicting and correcting classification decision errors based on modality reliability measures in a multimodal biometric system. In our experiments we use face and speech experts based on a recently proposed framework which uses Bayesian networks. The expert decisions and the accompanying information on their reliability are combined in a decision module...
This paper presents a brain-computer interface (BCI) in which the face paradigm was optimized for the visual mismatch negativity (MMN). There were 12 cells in a LCD monitor. A single letter was at the bottom of each cell. In the new paradigm, a color face appeared above each of the 12 cells randomly while the gray faces appeared in others 11 cells. A traditional face paradigm with single character...
Face Detection is a challenging task due to large variations in pose, illumination, occlusion, scaling and clutter. Face detection is the primary step in Face recognition. The important goal of efficient face detection system is to have negligible misclassification rate. A novel face detection technique using CbCr color model with Haar feature extractor and Adaboost classifier is proposed. The proposed...
In forensic face comparison, one of the features taken into account are the eyebrows. In this paper, we investigate human performance on an eyebrow verification task. This task is executed twice by participants: a "best-effort" approach and an approach using features based on forensic knowledge. The group of participants is divided into forensic/biometric experts and non-experts. The rationale...
In this paper we present our evaluation of the Edge Orientation Histograms (EOH) as feature descriptors in an automatic face-based gender classification application. The feature descriptors extracted from an input image are evaluated using estimated arithmetic means of accuracies to select the feature descriptors that play the most important role in classification success. Our experiments show that...
The prediction of individual characteristics from biometric data which falls short of full identity prediction is nevertheless a valuable capability in many practical applications. This paper considers age prediction in two biometric modalities (iris and handwritten signature) and explores how different feature types and classification strategies can be used to overcome possible constraints in different...
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