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In this paper, we have compared use of PCA (Principal components analysis) with two powerful feature extraction techniques LDA (Linear discriminant analysis) GDA (Generalized discriminant analysis) which have already been used in palmprint verification. For testing purpose 10 colorful whole-hand images of each hand of 43 persons are collected by a digital camera, namely, a small dataset of 860 images...
Canonical Correlation Analysis (CCA) is a standard tool in statistical analysis that measures the linear relationship between two data sets. In this paper, we present a multibiometric approach which combines palmprint feature and finger geometry feature based on Canonical Correlation Analysis. First, we use linear discriminant analysis (LDA) to build the palmprint feature. Second, the geometry feature...
There are many biometric features in the hand images captured by digital camera, but few studies are done to extract fingerprint image from it. This paper presents some fingerprint image preprocessing approaches based on a whole-hand image captured by digital camera. The preprocessing methods include key point location, finger image segmentation and fingerprint region extraction. Firstly, the key...
In this paper, we present a multibiometric approach which combines palmprint, fingerprint and finger geometry collected by a digital camera at decision fusion level. First, eight neighborhood border tracing algorithm is applied to locate fingertips and valley points, then the regions of palmprint and fingerprint as well as a finger contour are extracted from a whole-hand image. Second, the linear...
The baseline system PRLM has the best performance on NIST language recognition evaluation tasks. But this system needs orthographically or phonetically transcribed utterances which can not be easily obtained from Chinese dialects and minority languages. So, the PRLM system is not used to these languages. To overcome this limitation, we present the Gaussian mixture model recognizer followed by language-dependent...
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