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Recently, writer identification has been studied and it has a wide variety of applications, more specifically in biometric and forensic science. This paper presents the use of texture features in identifying the writer from the handwritten document image. The texture features are extracted based on the co-occurrence histograms of wavelet decomposed images, which capture the information about relationships...
This paper presents a novel technique of obtaining the Region of Interest (ROI) which is square-shaped. After palm print segmentation, we perform texture feature extraction using Local Binary Pattern (LBP) based on the directional gradient response. With the feature vectors so obtained we perform matching using Support vector machines (SVM) and also using the Chi-square distance measurement. The experimental...
Biometric systems allow automatic person recognition based on physical or behavioral features which belong to a certain person. Each biometric feature has its limits and no biometric system is perfect so unimodal biometric systems raise a variety of problems. To over fulfilling some of the mentioned inconvenient and limitations and to increase the level of security the multimodal biometric systems...
Multimodal biometric face recognition using speech signal has engrossed much attention and has been applied in various domains primarily for surveillance, security & access control and law enforcement. In recent years much advancement have been made in face recognition techniques to cater to the challenges such as pose, expression, illumination, aging and disguise. However, due to advances in...
In today's automated world, it is always a great challenge to secure individuals personal information. Palmprint has come out to be one of the most secure and effective biometric methods to automatically identify a person's identity. It contains so many features like geometry features, principal line features, wrinkles, ridges, delta point features, texture features and points. Here, Phase Congruency...
Palmprint recognition is an effective biometric authentication method to automatically identify a person's identity. In this paper, phase congruency method is proposed to extract features from a palm-print image for authentication. The phase congruency is one of the promising methods to analyse the image as it is invariant to image contrast and therefore can extract reliable features under varying...
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