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Accurate stripe boundary location is crucial for stripe coded structured light based 3D reconstruction. Intersecting point method might be the most accurate for stripe boundary location. But this method requires project a group of normal and a group of inverse patterns, and thus can not be used in some time- or resource-constrained applications. In this paper, we propose an improved sub-pixel location...
Coded structured light is an effective technique to acquiring shape in stereovision. Coding strategy is one of the core techniques because it effects the measure precision and efficiency directly. There are two major group of techniques in color structured light encoding. One is to define coloured multi-slit, which is suitable for locating intensity peaks in the image. The other is to define coloured...
This paper presents a color structured light technique for recovering object shape from images. Coding strategy is one of the most important techniques because it effects the measure precision and efficiency directly. Unlike traditional encoding methods, we design new coloured stripe patterns in order to locate both intensity peaks and edges. Then edge detection method with sub-pixel accuracy is performed...
This paper presents a novel approach of palmprint authentication based on the directional gaussian derivative filters. In this approach, the palmprint image is firstly filtered using some directional Gaussian derivative filters in different directions. Then the orientation and the phase of each pixel of the palmprint image are extracted to form a feature. In the matching phase, the Hamming distance...
Biometric cryptography is a technique using biometric features to encrypt data, which can improve the security of the encrypted data and overcome the shortcomings of the traditional cryptography. This paper proposes a novel biometric cryptosystem based on palmprint features. In this system, the palmprint features, called DoG code, are extracted using Gaussian derivative filters. Then the Reed-Solomon...
Coding-based method, which encodes the responses of a bank of filters into bitwise features, has been very successful in palmprint representation and matching. Palmprints, however, are typically multiscale features, where the palm lines can be represented at a higher scale while the wrinkles at a lower scale. In this work, we present a mutliscale competitive code method for efficient palmprint representation...
Coding based methods are among the most promising palmprint recognition methods. As one representative coding method, the competitive code first convolves the palmprint image with a bank of Gabor filters with different orientations and then encodes the dominant orientation into its bitwise representation. Despite its effectiveness, few investigations have been given to study the influence of the number...
Palmprint recognition, as one of the most promising biometrics, has received considerable recent biometric research interest. Among various palmprint recognition techniques, coding based methods have been very successful since of its simplicity, high precision, small size of feature and rapidness for both feature extraction and matching. Several filters, such as Gabor and Gaussian, and coding schemes,...
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