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Learning how to extract rotation-invariant and scale-invariant features from texture images
(Scopus, 2008)
Learning how to extract texture features from noncontrolled environments characterized by distorted images is a still-open task. By using a new rotation-invariant and scale-invariant image descriptor based on steerable ...
The state of the art of weld seam radiographic testing: Part II, pattern recognition
(AMER SOC NONDESTRUCTIVE TEST, 2007)
Over the last 30 years, there has been a large amount of research attempting to develop an automatic (or semiautomatic) system for the detection and classification of weld discontinuities in continuous welds examined by ...
TSRS - A new approach for traffic sign recognition using the sift algorithm
(2019-01-01)
This paper proposes a new approach for traffic sign recognition using images captured by a low-cost mapping system. The proposed approach applies the SIFT algorithm to extract keypoint features that are used to evaluate ...
A graph-based framework for thermal faceprint characterization
(2011-09-26)
Thermal faceprint has been paramount in the last years. Since we can handle with face recognition using images acquired in the infrared spectrum, an unique individual's signature can be obtained through the blood vessels ...
Infrared face recogniton by optimum-path forest
(2009-12-01)
This paper presents a novel, fast and accurate appearance-based method for infrared face recognition. By introducing the Optimum-Path Forest classifier, our objective is to get good recognition rates and effectively reduce ...
Infrared face recogniton by optimum-path forest
(2009-12-01)
This paper presents a novel, fast and accurate appearance-based method for infrared face recognition. By introducing the Optimum-Path Forest classifier, our objective is to get good recognition rates and effectively reduce ...
Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor Classification
(IEEE, 2009)
Face recognition algorithms commonly assume that face images are well aligned and have a similar pose -- yet in many practical applications it is impossible to meet these conditions. Therefore extending face recognition ...
Classification of potato chips using pattern recognition
(WILEY, 2004)
An approach to classify potato chips using pattern recognition from color digital images consists of 5 steps: (1) image acquisition, (2) preprocessing, (3) segmentation, (4) feature extraction, and (5) classification. Ten ...
Fusing Facial Features for Face Recognition
Face recognition is an important biometric method
because of its potential applications in many fields, such as access
control, surveillance, and human-computer interaction. In this
paper, a face recognition system that ...