Adilson Gonzaga

Learn More
The human eye is sensitive to visible light. Increasing illumination on the eye causes the pupil of the eye to contract, while decreasing illumination causes the pupil to dilate. Visible light causes specular reflections inside the iris ring. On the other hand, the human retina is less sensitive to near infra-red (NIR) radiation in the wavelength range from(More)
Neural networks present an alternative approach for the character recognition problem. This paper describes the development of a recognition qs tem of multi-font character using topological feature extraction to recognize capital isolated letters. B y properly specijjing a set of features such as vertical, horizontal, and slant strokes, curvature, open and(More)
The evaluation of performance of edge detectors in general, is made empirically by visual analysis of the detected edge map. This paper presents a new method that alow us to evaluate quantitatively the performance of edge detectors, through a set of synthetic images and real images and manually specified ground truth for this images. Keywords-performance(More)
An algorithm able to classify pathological and normal voice signals based on Daubechies Discrete Wavelet Transform (DWT–db) and Support Vector Machines (SVM) classifier is presented. DWT–db is used for time-frequency analysis giving quantitative evaluation of signal characteristics to identify pathologies in voice signals, mainly the nodule pathology in(More)
This paper describes different approaches of realtime GMM (Gaussian mixture method) background subtraction algorithm using video sequences for hand image segmentation. In each captured image, the segmentation takes place where pixels belonging to the hands are separated from the background based on background extraction and skin-color segmentation. A(More)
This paper proposes a novel computer vision approach that processes video sequences of people walking and then recognises those people by their gait. Human motion carries different information that can be analysed in various ways. The skeleton carries motion information about human joints, and the silhouette carries information about boundary motion of the(More)
Local feature description has gained a lot of interest in many applications, such as texture recognition, image retrieval and face recognition. This paper presents a novel method for local feature description based on gray-level difference mapping, called Center-Symmetric Local Mapped Pattern (CS-LMP). The proposed descriptor is invariant to image scale,(More)
The personal identification through iris texture analysis is a highly efficient biometric identification method. Some algorithms and techniques were developed, taking into consideration the texture features of the iris image in the human eye. Nonetheless, such features, due to the fact that they are static, they are also susceptible to fraud. That is, a(More)