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12 articles for “rotation invariance”
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Rotation Invariant Copy-Move Image Forgery Detection Using a Method Based on Fuzzy-Zernike Moments
Abstract: AbstractWithout leaving any visual clue, digital images are easy to manipulate due to the availability of countless editing software packages. Any image manipulation can become a forgery. Copymove forgery is a very common method of creating forge images by copying some part of the image and pastes it on the same image. In this paper, we propose a copy-move digital image forgery detection method using Fuzzy-Zernike Moments. The proposed method …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 58–68 Read article
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A Statistical Approach Noise Tolerant Texture Classification
Abstract: A simple, efficient, yet robust multi resolution approach to texture classification binary rotation invariant and noise tolerant. The proposed approach is very fast to build and very compact while remaining robust to illumination variations, rotation changes, and noise. We have developed a novel and simple strategy to compute a local binary descriptor based on the conventional local binary pattern (LBP) approach, preserving the advantageous characteristics of uniform LBP. Points are …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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Local Binary Pattern-based Noise Robust Feature for Texture Classification
Abstract: Abstract: The presence of noise degrades the local binary pattern-based classification efficiency. In the present work, a modified local binary pattern ( —modified noise robust local binary pattern) based classification is proposed. In this, a local binary pattern-based feature is modified, which also captures macrostructure information, whereas the existing features capture microstructure texture information only. The new feature is tested on Outex_TC_00010, Outex_TC_00012 and Brodatz datasets for rotation invariant and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 31–47 Read article
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A Novel Approach to Fingerprint Authentication Using Histogram Oriented Gradients for Feature Extraction and Machine Learning Convolution Neural Network for Classification
Abstract: With applied biometrics, it is possible to identify a person by examining a feature vector of attributes derived from their physical and behaviour characteristics. In biometrics, fingerprints have become one of the most famous and well known techniques of identification and authentication. In light of technological advancements and safety, fingerprint recognition has been successfully used in a variety of Civil, Defence, and Commercial applications for more than a decade. The …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 1–12 Read article
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Automated Recognition of Mechanical Parts with Machine Vision System
Abstract: The field of machine vision, or computer vision, has been growing at fast pace. The growth in this field, unlike most established fields, has been both in breadth and depth of concepts and techniques. Computer vision recognition has attracted the attention of researchers in many application areas and has been used to solve many ranges of problems. In this work, recognition of objects manufactured in mechanical industry is considered. Mechanically …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 1–6 Read article
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Adaptive Linear Gabor Response Pattern for Palm-print Recognition
Abstract: The advancement of the information society has increased the demand for secure identity systems in a wide range of applications, including financial transactions, forensics, border control, computer security, and law enforcement. Biometrics is an alternative method for accurate and trustworthy authentication in a highly networked society. It is the science of using behavioural (gait, keystroke, signature, etc.) and physiological (face, ear, finger, palmprint, DNA etc.) attributes to validate an individual's …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 1–12 Read article
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Partial View-Based Object Recognition using Leave-one-out Approach with Classification and Regression Trees
Abstract: Object recognition from image is an intriguing task in computer vision. It is simple for human being but complex for machine because of complex background, lightening, different viewing angle, size etc. So, a typically automatic and robust system is required to recognize object. In this paper, a content-based object recognition system using only one view of the object: top view, front view, back view, side view, and also using combination …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 9–16 Read article
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Color and Texture Features Based Object Recognition Using Machine Learning Methods
Abstract: Object recognition in images is a simple task for human but it is a complex and challenging task for machines due to different factors such as occlusion, lightening, object size, scaling etc. A Robust and automatic image processing system is thus critically required to make such a sampling approach practical. In this paper, we propose a method for classification of objects in images by incorporating global descriptors of the image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 1–11 Read article
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An Algorithm for Road Sign Detection and Recognition using HOG and SVM
Abstract: Recognizing traffic signs is a challenging problem; and it has captured the attention of the computer vision community for several decades. Essentially, traffic sign recognition is a multi-class classification problem that has become a real challenge for computer vision and machine learning techniques. We present a system which will detect the road sign with shape detection technique. Further recognition of road sign is carried out using Histogram Oriented Gradient and …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article
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Efficient Object Detection Based on Local Invariant Features
Abstract: Object detection is an important task in image processing and computer vision. Binary Robust Invariant Scalable Keypoint (BRISK) local features are extracted from the object. These features are invariant to image scale, translation, rotation, illumination and partial occlusion. Object detection process begins by matching individual features of the user queried object to a database of features with different objects which are saved in advance. Cite this Article:Anand Rathod, Manoj Bagale, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 1–3 Read article
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Group-Theoretic Symmetry Indices for Modular Building Layouts under Seismic Load Redistribution
Abstract: Symmetry in modular buildings operates simultaneously as an architectural language, a structural regularizer, and a computational design variable. This paper develops a group-theoretic framework for evaluating and optimizing plan symmetry in modular buildings subjected to seismic load redistribution. The building layout is modeled as a finite occupancy–stiffness field defined on a rectangular lattice, where each module encodes both mass and stiffness contributions. Planar reflections and quarter-turn rotations are represented as …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 01–07 Read article
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Recognition and Classification of Clothing Pattern and Color
Abstract: Choosing clothes with complex patterns and colors is a challenging task for visually impaired and blind people. The automatic clothing pattern and color recognition is also a challenging problem due to the large intra-class variation, rotation, scaling and illumination. Here, we recognize clothing patterns in four categories (plaid, striped, pattern-less, and irregular), and identify 11 clothing colors (red, orange, yellow, green, cyan, blue, purple, pink, black, grey, and white). The …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 2, 2016 · pp. 33–41 Read article