[PDF] Top 20 IDENTIFICATION OF REAL TIME HAND GESTURE USING SCALE INVARIANT FEATURE TRANSFORM
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IDENTIFICATION OF REAL TIME HAND GESTURE USING SCALE INVARIANT FEATURE TRANSFORM
... Sign language is widely used by people who cannot speak and hear or people who can hear but cannot speak. A sign language is composed of various gestures formed by different hand shapes, movements and orientations ... See full document
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Automated identification of Lauraceae by scale-invariant feature transform
... wood identification using computer vision- based methods to extract features from the wood images has been receiving an increasing ...19]. Scale-invariant feature transform ... See full document
9
Implementation of SIFT In Various Applications
... In [25] 3D ear biometrics has been proposed which used SIFT keypoint for detection and 3D ear identification. In this, the 3D point cloud is rotated to generate multiple images that provide more quality keypoints. ... See full document
6
Vision Based Anomaly Detection System for ATM
... anomaly identification and Analysis utilizing SIFT (Scale-invariant feature transform) and Gabor include extraction process and SVM (support vector machine) classification technique in ... See full document
6
Palmprint Identification System Based on Local and Texture Features using KNN Classifier
... global feature. So, an important issue in palmprint identification is to extract the feature that can discriminate an individual from the ...biometric identification system is based on ... See full document
8
An Effective and Reliable Computer Automated Technique for Bone Fracture Detection
... on scale invariant feature transform algorithm was proposed for the pur- pose of the potential feature extraction process ...This scale invariant feature ... See full document
6
An Efficient Multi-Modal Biometric Verification System Using FKP and Iris
... sophisticated identification to verify or determine the identity of a ...extract feature set from FKP, scale invariant feature transform (SIFT) and speeded up robust features ... See full document
8
A Study on the Impact of Ethical Behaviour of Firms on Global Competitiveness Ranking
... for scale invariant feature transform algorithm was first proposed by ...a feature detection algorithm used to identify the similar objects in two different ...objects using ... See full document
6
REAL TIME HAND TRACKING AND GESTURE RECOGNITION SYSTEM
... on hand tracking and gesture recognition for ISL ...in real time the gestures are tracked using Skin Detection Algorithm and derived Scale Invariant Feature ... See full document
13
An Effectual Approach in Biased Shape Matching for Gesture Recognition using LTrP and SIFT Algorithm
... image feature extraction and matching by using SIFT ...This feature concept is scale and rotational invariant feature vector and classifies the image ...SIFT feature ... See full document
8
Color Image Stitching Using Scale Invariant Feature Transform With 2-Dimensional Entropy Segmentation
... Image stitching is one of the most significant branches of computer vision and image processing. The concept of image stitching is that two or more images are stitched together to obtain a wide field of view. Image ... See full document
5
Real Time Hand Gesture Recognition for Bangla Character using SVM Classifier
... for hand gesture used for Bangla vowel and consonant character recognition in real time adopted by deaf and mute community in ...input, hand region is detected by skin color ... See full document
5
PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL
... of real-time object detection method for embedded system particularly the Android ...as Scale Invariant Feature Transform (SIFT), Speeded-Up Feature Transform ... See full document
8
Feature Extraction using SIFT for Privacy Preserving Over Encrypted Image
... implemented using SIFT (Scale Invariant Feature Transform) algorithm over the ...the feature extraction is done by using ...Encryption, Feature Selection, Secure ... See full document
6
ISSN: 2321-8363 Impact Factor: 5.515
... recognition using a Gaussian Probabilistic Non Additive Entropy based Kernel Entropy Component Analysis with Scale Invariant Feature ...correlation. Scale Invariant ... See full document
5
Face Recognition Using Zernike Moments, SIFT and Feed Forward Neural Network
... eigenface feature is extracted from these bands. The feature is given as input to the classification algorithmic rule supported Back Propagation Neural Network ...robust feature extraction ... See full document
6
Similarity measure for image resizing using SIFT feature
... In contrast to iteration optimization methods such as BDS, our algorithm is efficient. We employ Seam Car- ving, at the beginning of resizing, to remove unimpor- tant regions, then Scaling to preserve the salient objects ... See full document
11
Sign Language Recognition System for Disabled People
... to transform these computer vision devices to become an input command devise to reach the function as an alternate to keyboard or ...mouse. Hand gesturing is used to give signal to computer vision ... See full document
5
Hampered Serving Bot
... of gesture controlled wheel chair using microcontroller with the help of Bluetooth and wireless sensor ...in real time detections, gesture based data which control vehicle movement of ... See full document
6
Exposing Digital Image Forgeries Using Feature Extraction and Adaptive Over Segmentation
... In order to segment the input image into non-overlapping regions of irregular shape, we used the SLIC algorithm to divide the host image into meaningful superpixels. As a non-overlapping segmentation method, SLIC [10] ... See full document
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