F: Graphics & Vision (133)
GJCST: F
Content base Image Retrival using Color Histogram and Global Features
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 1 In the world we live in today we can safely say that the internet revolution, digital representation and transportation of data had offered efficient solution for information delivery. But these phenomenal developments brought their own concern and problems in area of searching, security, monitoring and use of information by qualified end users. In early days the information was generall...
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Authors Muqaddas Bin TahirRead Journal Click Here
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Page No. 23 to 30
Supervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 1 In this paper we proposed, a novel framework to assist and automate the diagnosis of diseases from computer-based image analysis method using Content-based image retrieval (CBIR). CBIR is the process of retrieving related images from large database collections by using low level image features such as color, texture and shape etc. we have used fuzzy texton and discrete shearlet transform...
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Authors Sudhakar Putheti, Mohan Krishna kotha,Srinivasa Reddy EdaraRead Journal Click Here
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Page No. 15 to 22
Automatic Classification and Segmentation of Tumors from Skull Stripped Images using PNN & SFCM
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 1 Automatic classification of brain tumor is area of concern from last few decades for better perceptive analysis in accurate manner. In this paper an automatic brain tumor classification approach namely probabilistic neural network are proposed with image and data processing techniques. The conventional algorithms which are reported in the literature are not automatic in nature and mainly...
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Authors Adapala Praveen Kumar,J Krishna ChaithanyaRead Journal Click Here
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Page No. 9 to 13
Direction based Heuristic for Pathfindingin Video Games
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 1 Pathfinding has been one of major research areas in video games for many years. It is a key problem that most of the video games are confronted with. Search algorithms such as the A* algorithm and the Dijkstra’s algorithm representing such regular grid, visibility graphs also have significant impact on the performance. This paper reviews the current widely used solutions...
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Authors Geethu Elizebeth Mathew, Mrs. G.MalathyRead Journal Click Here
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Page No. 1 to 7
Image fusion using Wavelet Transform: A Review
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 5 An Image fusion is the development of amalgamating two or more image of common characteristic to form a single image which acquires all the essential features of original image. Nowadays lots of work is going to be done on the field of image fusion and also used in various application such as medical imaging and multi spectra sensor image fusing etc. For fusing the image various techniqu...
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Authors Vinay Sahu, Dinesh SahuRead Journal Click Here
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Page No. 21 to 28
Pose Invariant Face Recognition Using DT-CWT Partitioning and KPCA
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 5 In this paper the suitability of Dual Tree Complex Wavelet Transform for pose invariant Face Recognition is studied and a feature extraction frame work is proposed. This proposed framework will aid in design of Face Recognition system to address the challenging issue like Pose Variation. In contrast to the discrete wavelet Transform (DWT) the design of Dual Tree Complex Wavelet Transform...
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Authors K. Punnam Chandar, T. SatyasavithriRead Journal Click Here
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Page No. 15 to 20
Illumination Condition Effect on Object Tracking: A Review
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 5 Illumination is an important concept in computer science application. A good tracker should perform well in a large number of videos involving illumination changes, occlusion, clutter, camera motion, low contrast, specularities and at least six more aspects. By using the review approach, our tracker is able to adapt to irregular illumination variations and abrupt changes of brightness. I...
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Authors Kalpesh R Ranipa, Dr. Kiritkumar BhattRead Journal Click Here
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Page No. 9 to 13
A Fingerprint Identification Approach using Neural Networks
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 5 Today, because of the vulnerability of standard authentication system, law-breaking has accumulated within the past few years. Identity authentication that relies on biometric feature like face, iris, voice, hand pure mathematics, handwriting, retina, fingerprints will considerably decrease the fraud, so that they square measure being replaced by identity verification mechanisms. Among b...
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Authors P,Sreenivasa MoorthyRead Journal Click Here
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Page No. 1 to 7
Secure Message Recovery and Batch Verification using Digital Signature
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 4 This paper about the study of Secure message Recovery and batch verification using Digital Signature. Security is increased in batch verification through triple DES algorithm. Encryption is used for the Security in which the plaintext is transforming into the cipher text. A digital signature scheme involves two phases, the signature generation phase which is performed at the sender side ...
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Authors Makkar,Sarika, Thakral,SilviRead Journal Click Here
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Page No. 55 to 57
Zone-Features based Nearest Neighbor Classification of Images of Kannada Printed and Handwritten Vowel and Consonant Primitives
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 4 The characters of any languages having scripts are formed by basic units called primitives. It is necessary to practice writing the primitives and their appropriate combinations while writing different characters. In order to automate character generation, primitives‟ recognition becomes important. In this paper, we propose a zone-features based nearest neighbor classificat...
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Authors Basavaraj. S. Anami, Deepa S Garag, P. ShivakumaraRead Journal Click Here
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Page No. 41 to 54
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Cyclosparsity: A New Concept for Sparse Deconvolution
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 4 Periodic random impulse signals are appropriate tools for several situations of interest and are a natural way for modeling highly localized events occuring randomly at given times. Nevertheless, the impulses are generally hidden and swallowed up in noise because of unwanted convolution. Thus, the resulting signal is not legible and may lead to erroneaous analysis, and hence, the need of...
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Authors Khalid SabriRead Journal Click Here
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Page No. 19 to 39
Selecting Optimal RBF Kernel with Machine Learning for Feature Extraction and Classification in SAR Images
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 4 Kernel methods are gaining popularity in image processing applications. The accuracy of feature extraction and classification on image data for a given application is greatly influenced by the choice of kernel function and its associated parameters. As on today there existing no formal methods for selecting the kernel parameters. The objective of the paper is to apply machine learning te...
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Authors P. Deepthi Jordhana, K.SoundararajanRead Journal Click Here
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Page No. 11 to 18
Log-Gabor Orientation with Run-Length Code based Fingerprint Feature Extraction Approach
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 4 This paper aims to design and implement Log-Gabor filtering with Run-length Code based feature Extraction technique. Since minutiae extraction is an essential and core process of fingerprint Identification and Authentication systems, the minutiae features are enhanced in each orientation using Log-Gabor filter and features are extracted using the proposed method. Frequency domain is deri...
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Authors Dr. K. Kanagalakshmi, Dr. E. ChandraRead Journal Click Here
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Page No. 1 to 10
Sift Algorithm for Iris Feature Extraction
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 3 Iris recognition is proving to be one of the most reliable biometric traits for personal identification. In fact, iris patterns have stable, invariant and distinctive features for personal identification. Reliable authorization and authentication are becoming necessary for many everyday applications. Iris recognition has been paid more attention due to its high reliability in personal id...
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Authors Kinjal M. Gandhi , Prof. R.H. KulkarniRead Journal Click Here
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Page No. 31 to 36