Security presentation through fingerprint template creation is a system for protecting fingerprin... more Security presentation through fingerprint template creation is a system for protecting fingerprint privacy by fusion of two different biometric fingerprints into a new identity in the registration process; two fingerprints are captured from two different fingers. Then the minutiae positions from fingerprint, the orientation from the other fingerprint and the reference point from both fingerprints are drawn out based on this information and coding strategies fused minutiae template is created, more accurate and precise results the process of root threading is applied on the fuse template and this template is stored in the database. In the authentication, the system needs uses two queries from the same fingers which are used in the registration process. In the existing system the only security is password authentication so the hackers easily stole out password & try to access authentication server, so system security may degrade. In this system we generate an algorithm to create fuse ...
Biomedical signals are described as the collection of electrical signal acquired from any organ t... more Biomedical signals are described as the collection of electrical signal acquired from any organ that represents a physical variable of interest. This signal is normally a function of time .It is described in terms of its amplitude, frequency, and phase. The analysis of these signals is important both for research and for medical diagnosis and treatment. If the signals are not properly diagnosed and analyzed it will lead to wrong diagnosis and can be fatal to life. Biomedical signals such as ECG, EMG, and EEG are extremely important in the diagnosis of patients. These signals have noise as well as artifacts which have to be removed for proper treatment of a patient. Different methodologies are used to remove noise and artifacts .This paper describes the different filtering techniques like IIR, FIR and Wavelet.
International journal of engineering research and technology, 2014
The Electrocardiogram (ECG) is useful for clinical diagnosis and in biomedical research. The sign... more The Electrocardiogram (ECG) is useful for clinical diagnosis and in biomedical research. The signals recorded are observed visually and hence can lead to wrong diagnonsis. ECG recordings are distorted by artifacts like blinking of eyes, movement of hands, dislocation of leads and so on causing serious problem for ECG interpretation and analysis. Independent component analysis is a new technique suitable for separating independent component from ECG complexes. This paper compares the various Independent Component Analysis (ICA) algorithms like FASTICA, JADE, and EFICA with respect to their capability to remove noise and artifacts from ECG. We compare the signal to interference ratio (SIR), performance index (PI), separation of semi orthogonality of these algorithms.
Security presentation through fingerprint template creation is a system for protecting fingerprin... more Security presentation through fingerprint template creation is a system for protecting fingerprint privacy by fusion of two different biometric fingerprints into a new identity in the registration process; two fingerprints are captured from two different fingers. Then the minutiae positions from fingerprint, the orientation from the other fingerprint and the reference point from both fingerprints are drawn out based on this information and coding strategies fused minutiae template is created, more accurate and precise results the process of root threading is applied on the fuse template and this template is stored in the database. In the authentication, the system needs uses two queries from the same fingers which are used in the registration process. In the existing system the only security is password authentication so the hackers easily stole out password & try to access authentication server, so system security may degrade. In this system we generate an algorithm to create fuse ...
Biomedical signals are described as the collection of electrical signal acquired from any organ t... more Biomedical signals are described as the collection of electrical signal acquired from any organ that represents a physical variable of interest. This signal is normally a function of time .It is described in terms of its amplitude, frequency, and phase. The analysis of these signals is important both for research and for medical diagnosis and treatment. If the signals are not properly diagnosed and analyzed it will lead to wrong diagnosis and can be fatal to life. Biomedical signals such as ECG, EMG, and EEG are extremely important in the diagnosis of patients. These signals have noise as well as artifacts which have to be removed for proper treatment of a patient. Different methodologies are used to remove noise and artifacts .This paper describes the different filtering techniques like IIR, FIR and Wavelet.
International journal of engineering research and technology, 2014
The Electrocardiogram (ECG) is useful for clinical diagnosis and in biomedical research. The sign... more The Electrocardiogram (ECG) is useful for clinical diagnosis and in biomedical research. The signals recorded are observed visually and hence can lead to wrong diagnonsis. ECG recordings are distorted by artifacts like blinking of eyes, movement of hands, dislocation of leads and so on causing serious problem for ECG interpretation and analysis. Independent component analysis is a new technique suitable for separating independent component from ECG complexes. This paper compares the various Independent Component Analysis (ICA) algorithms like FASTICA, JADE, and EFICA with respect to their capability to remove noise and artifacts from ECG. We compare the signal to interference ratio (SIR), performance index (PI), separation of semi orthogonality of these algorithms.
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Papers by Zainab Mizwan