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Computational intelligence firmly made its way into the areas of consumer applications, banking, education, social networks, and security. Among all the applications, biometric systems play a significant role in ensuring an uncompromised and secure access to resources and facilities. This article presents a first multimodal biometric system that combines KINECT gait modality with KINECT face modality...
Gait not only defines the way a person walks, but also provides interesting cues on individuals daily routine, mental state, health condition or even cognitive function. The importance of incorporating cognitive behavior and analysis in biometric systems has been noted recently. In this article, we develop a biometric-security system using gait-based skeletal information from Microsoft Kinect v1 sensor...
Cybersecurity is an important and challenging issue faced by governments, financial institutions and ordinary citizens alike. Secure identification is needed for accessing confidential government information, online bank transaction, person's social network (Facebook, Twitter, Linkedin). Brain signal electroencephalogram (EEG) can play a vital role in ensuring security as it is non-vulnerable and...
Faces captured in a real-world scenario may suffer from large variations in shape and occlusions due to difference in illumination, variation in pose and orientation of a facial image. Automated face recognition or security reinforcement by surveillance techniques would be useless if the faces are occluded. Therefore, face occlusion detection has become very important not only for effective face recognition...
Electroencephalogram (EEG) signal plays an important role in the field of brain-computer interface (BCI) which has diverse applications ranging from medicine to entertainment. BCI acquires brain signals, extracts informative features and translates these features into a control signal for an external device. The Purpose of this work is to select proper frequency band and to extract suitable features...
Electrocardiographic ECG gives the electrical activity of the heart captured over time by an external electrode attached to the skin. The proper processing of ECG signal and its accurate detection is very much essential since it determines the condition of the heart. ECG consists of various noise such as baseline wander, power line interference and muscle noise etc. The wavelet transform is a useful...
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