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The scientific problem of real-time camera-based document image retrieval is achieved by computing the image features adapted to this acquisition mode i.e. the image features which are highly discriminative even under challenging conditions of camera capture as well as which are light to be computed. In this paper, we propose new extension features to our previously proposed SRIF descriptor. The new...
Variations in illumination still pose a major constraint in face recognition systems. Though many steps have been taken in this area, it continues to be a challenging field in this domain. We propose a framework to overcome this problem by first classifying the image into dark, normal or shadowed, and then selecting an appropriate filter for the image. This step ensures that there is no loss of features...
Automated systems for understanding display boards are finding many applications useful in guiding tourists, assisting visually challenged and also in providing location aware information. Such systems require an automated method to detect and extract text prior to further image analysis. In this paper, a methodology to detect and extract text regions from low resolution natural scene images is presented...
Data authentication is one of the primary requisites in present day communication systems. In image processing, data authentication is implemented by using watermarking techniques. Nevertheless, whatever be the technique of watermarking, one of the important factors to be considered is robustness. In this paper we discuss about a novel robust method for digital watermarking in spatial domain. The...
Super-resolution enhancement is the technique of increasing spatial resolution of an image from the image itself or from several noisy images of the same scene but with additional information such as motion. This paper presents a kernel regression approach to reconstruct a high resolution image from several low resolution video frames. In many applications including cell phone and webcam the imaging...
This paper proposes a video hashing method for the purpose of digital rights management, media monitoring and tracking the distribution of illegally copied video. The proposed algorithm is applied to temporally representative images of a video. The resulting hashes are found experimentally to be highly robust to a range of attacks including noise, rotation, time shift, and frame dropping.
In this paper, A quantization based method for digital image watermarking is presented here. This method is based on inserting a watermark bit into the coarsest scale wavelet coefficients. A three level image decomposition is used in the paper. This watermarking technique is blind requiring neither the original image nor any side information in the watermark recovery process. It is computationally...
In this paper, we propose an SVD-based watermarking scheme in complex wavelet domain for color video. Video watermarking is well known as the process of embedding copyright information in video bit streams. It has been proposed in recent years to solve the problem of illegal manipulation and distribution of digital video. In this study, an effective, robust and imperceptible video watermarking algorithm...
Design of an adaptive controller for complex dynamic systems is a big challenge faced by the researchers. In this paper, we propose a novel method for the design of an error- based robust adaptive controller to make the system response reasonably fast with no overshoot. Here the control action is designed by introducing the notion of `error-based adaptive controller' (EB-AC). In the design of this...
Patients in psychiatric hospitals that are sedated or secluded are at risk of death or injury if they are not continuously monitored. Some psychiatric patients are restless and aggressive, and hence the monitoring device should be robust and must transmit the data wirelessly. Two devices, a glove that measures oxygen saturation and a dorsally-mounted device that measures heart rate, skin temperature...
A major limiting step in the creation of systems biology models is the determination of appropriate parameter values that fit available experimental data. Parameter identification is hindered by the experimental difficulties in examining biological systems and the growing size and complexity of nonlinear models. In addition, the majority of systems biology models are dasiasloppy,psila allowing many...
Design of neuro-controller for complex dynamic systems is a big challenge faced by the researchers. In this paper we present a design of a robust neuro-controller for a dynamic system to make the system response fast with no overshoot. Here the control action decided by the controller completely depends on the value of the error at that point of time. The position feedback which controls the bandwidth...
This paper tackles the problem of fault diagnosis and recovery of unmanned aerial vehicles (UAVs) resulting from structural failures (icing). The proposed system consists of two units one for fault diagnosis and another for fault recovery. The goal of the fault diagnosis unit is to detect and estimate the severity of a fault. The recovery unit utilizes information on the estimated fault and adjusts...
Light weight robotic manipulators have significant advantages over their heavy counterparts in terms of efficiency of energy consumption and speed. However, they also have an inherent problem of vibrations which significantly affect their performance. Control strategies need to be developed to control their vibrational behavior. Many different control strategies have already been developed and tested...
Adaptive control theory has been recently used in damping the growing oscillations in power systems, enhancing the system response and improving system dynamic stability. This paper proposes a new robust adaptive control mechanism for FACTS. The adopted concept is the dead-zone modification based on model reference adaptive control (MRAC) technique. The developed controller aims to overcome the variation...
Switched reluctance motor can be used in many industrial applications. It is simple to construct and has salient pole stator and rotor. The rotor does not have any winding, commutators and brushes. This drives provide high reliability fast dynamic response and fault tolerance. But this SRM drives suffer from the disadvantage of having low power factor. The low power factor result in high losses in...
In this work, we present a new mask estimation technique that uses a neural network classifier to determine the reliability of spectrographic elements. In addition some different kinds of features used for classification were compared that make no assumptions about the corrupting noise signal, but rather exploit spectrographic characteristics of the speech signal. The performance of the proposed method...
In this paper, we present a robust watermarking method against geometric distortions and several attacks of signal processing. In the proposed watermarking method, image normalization is used to get geometric invariant feature and watermark embedding and detection are carried out in the Discrete Cosine Transform (DCT) domain. Texture based image block classification in DCT domain is also used to get...
This paper considers the design of a decentralized adaptive approximation based control scheme for a class of interconnected nonlinear systems. Linearly parameterized neural networks are used to adaptively approximate the unknown dynamics of each subsystem and the unknown interconnections. The feedback control and adaptation laws are based only on local measurements of the state. A dead-zone modification...
The fusion of information from heterogenous sensors is crucial to the effectiveness of a multimodal system. Noise affect the sensors of different modalities independently. A good fusion scheme should be able to use local estimates of the reliability of each modality to weight the decisions. This paper presents an iterative decoding based information fusion scheme motivated by the theory of turbo codes...
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