368 resultados para biometrics


Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Ciência da Computação - IBILCE

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pelvic measurements were carried out in cats with various cranial conformations to (1) determine pelvic morphometry, (2) compare any pelvic differences with cranial conformation and gender and (3) determine whether body biometrics can be used to predict pelvic measurements. Thirteen brachycephalic and 14 mesaticephalic female cats and 17 brachycephalic and nine mesaticephalic male cats were used. Body and external pelvic measurements, as well as pelvic radiographs, were performed. Brachycephalic females all had external pelvic and radiographic measurements that were significantly smaller than those of the mesaticephalic females, including smaller pelvic inlet and outlet areas and a smaller pelvic canal shape. Brachycephalic females had wider and flatter heads than do mesaticephalic females. Similarly, brachycephalic males all have radiographic pelvic measurements that are smaller than those of mesaticephalic males. Males had larger pelvis measurements than did their female counterparts for both cranial types, and indirect pelvimetry did not demonstrate good predictive value in determining the internal pelvic measurements. Thus, we conclude that pelvic differences exist between genders and between brachycephalic and mesaticephalic cats. Furthermore, body biometric measurements do not have good predictive value for determining internal pelvic measurements.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

The purpose of this study was to determine a shape factor to estimate area of leaflets of two peanut cultivars (IAC TATU ST, IAC RUNNER 886). Correlation studies were conducted involving real leaf area (Sf) and leaf length (C), maximum leaf width (L) and the product between C and L. For each cultivar was determined a form factor (f) by means of regression analysis between the product of the length by the width and the actual area of leaves and the correlation between leaf area estimated by the correction factor and direct measurement. All evaluated models (linear, exponential or geometric) provided good estimates of leaf area (above 87%). Linear models had the best fit, passing or not through the origin. From a practical viewpoint, it is suggested to use the linear model involving the C and L product, using a linear coefficient equal to zero, with values of factor f equal to 0.7111 and 0.7266 for IAC RUNNER 886 and IAC TATU ST, respectively. The method of dimensions is feasible for the estimation of leaf area for both peanut cultivars, for showing good r(2) values (0.97), with errors below 3%, even when used with independent data.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia (Agricultura) - FCA

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA

Relevância:

10.00% 10.00%

Publicador:

Resumo:

The effects of body biometrics on cardiac measurements and description of cardiac anatomy were performed in red-tailed boas (Boa constrictor constrictor) (n = 29) using real-time B-mode ultrasonography. Statistical comparison of measured cardiac metrics according to sex and body measurements demonstrated no significant difference between sexes but a highly significant linear increase between body length and mass and all cardiac metrics.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

This monograph aims to study the problem of thinning, also known by Image Skeletonization, to explore their applications in areas such as, Biometrics, Medicine, Engineering and Cartography. The algorithms of thinning can be classi ed into two major groups: iterative algorithms and non-iterative algorithms. Iterative are sub-divided into sequential algorithms and parallel algorithms. In order to develop a computer system able to extract the skeleton of an image, were studied, analyzed and implemented di erent algorithms for this problem, precisely those of Stentiford, Zhang Suen, and Holt

Relevância:

10.00% 10.00%

Publicador:

Resumo:

The use of physical characteristics for human identification is known as biometrics. Among the many biometrics traits available, the fingerprint is the most widely used. The fingerprint identification is based on the impression patterns, as the pattern of ridges and minutiae, characteristics of first and second levels respectively. The current identification systems use these two levels of fingerprint features due to the low cost of the sensors. However, the recent advances in sensor technology, became possible to use third level features present within the ridges, such as the perspiration pores. Recent studies show that the use of third-level features can increase security and fraud protection in biometric systems, since they are difficult to reproduce. In addition, recent researches have also focused on multibiometrics recognition due to its many advantages. The goal of this research project was to apply fusion techniques for fingerprint recognition in order to combine minutia, ridges and pore-based methods and, thus, provide more robust biometrics recognition systems, and also to develop an automated fingerprint identification system using these three methods of recognition. We evaluated isotropic-based and adaptive-based automatic pore extraction methods, and the fusion of pore-based method with the identification methods based on minutiae and ridges. The experiments were performed on the public database PolyUHRF and showed a reduction of approximately 16% in the EER compared to the best results obtained by the methods individually

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Ciência e Tecnologia Animal - FEIS

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia - FEIS