[PDF] Top 20 Palm print Classification based on inter Distal Region Texture features
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Palm print Classification based on inter Distal Region Texture features
... Palm print based authentication is being used commercially for establishing identity for secured access of resources ...finger print, palm print has not gained wider acceptance ... See full document
5
Palmprint Biometrics using Feed Forward Back Propagation Neural Network
... robust palm print method has been describes. Here region of interest is described to find out by silent point based ...on region of interest the ICA method is applied to extract the ... See full document
5
Classification for Liver Diseases Based on Ultrasound Image Texture Features
... (CAD) classification between Hepatocellular Carcinoma (HCC), ...Abscess, based on ultrasound image texture features and Support Vector Machine (SVM) ...96 features of Gray-Level ... See full document
37
Shape and Texture Features for the Identification of Breast Cancer
... system based image processing techniques and neural network ...image classification systems for classifying breast tumors using different image processing and classification ...real features ... See full document
6
Palm Recognition Using K-Mean Clustering With Geometrical and Texture Features
... technique.Palm print based identification is a new modality getting great acceptance in this identification ...unique features. A palm print is essentially the large inner surface of ... See full document
7
Fruit Disease Classification based on Texture Features
... Nowadays digitization and automation of machine in agriculture field plays prominent role. In this paper, we have proposed method to classify fruit as diseased and non- diseased. Firstly, we used K means clustering ... See full document
5
Shape and Texture based Palm Print Recognition System for Biometric identification
... user palm. Thus ROI is also one of the most important features of palm print image identification and all of the other features are present in this palm ... See full document
6
AN EFFECTIVE MACHINE LEARNING ALGORITHM FOR TEXTURE BASED MEDICAL IMAGE RETRIEVAL SYSTEM
... image classification to know whether themicro calcifications was present or absent based on a small region of interest (ROI) surrounding that ...training features for successful ... See full document
18
A Novel Approach to Palm Print Classification Using Global Features
... dimensional palm print has proved to be significant biometric for personal ...2-D palm print has been recognized as an effective biometric identifier in past ...3-D palm print ... See full document
7
Recent Advances in Palm Vein Recognition using Minutiae Based and Texture based Feature Extraction Methods
... recognition texture features plays a vital role. Texture is defined in terms of some properties such as coarseness, smoothness and ...the texture of region. Palm print ... See full document
6
Cloud classification of ground-based infrared images combining manifold and texture features
... The first experiment is performed on the zenithal dataset. Ta- ble 4 reports the overall recognition rates of the proposed method and the other methods. The proposed method at- tains the best results, with at least 2.5 % ... See full document
11
Palm Print Compression Based on Sparse Representation
... characteristics of the fingerprint files in 2004. However, with tens of thousands of persons being added into the repositories daily, the management of these data becomes a critical issue. Developing fine and delicate ... See full document
6
A Score Level Fusion Approach For Multimodal Biometric Fusion
... are Palm print, Finger and Face ...natural features of an individual, called biometrics, are one of a kind to every human and stay unaltered during an individual's lifetime and give a promising ... See full document
5
Classification of Mass in Mammograms by Asymmetric Texture Features
... By searching the bilateral asymmetry in the open access Mammographic Image Analysis Society (MIAS) database, 15 pairs of breast mammogram images (left-right) were detected and used. 9 of these images have malignant ... See full document
6
Comparison and Fusion of Multiresolution Features for Texture Classification
... the texture classification problem with multiresolution features, ...the texture images with the highest accuracy, the wavelet frame follows them, the dyadic wavelet significantly lags ... See full document
8
Pattern Recognition and Classification Using Backpropagation Neural Network Algorithm for Songket Motifs Image Retrieval
... extraction, classification and pattern recognition songket cloth ...texture. Features Chain- code pattern texture (Chain-code pattern texture features) are used as the basis ... See full document
7
Artistic style characterization of Vincent van Gogh’s brushstrokes
... Every artwork can be seen as a structure of two building block, which are the style, and the content, which is also known as the subject matter (Gatys, Ecker, and Bethge, 2015). Style is a series of distinguishable and ... See full document
131
Multiple Representations of Perceptual Features for Texture Classification and Retrieval
... Contrast measures the degree of clarity with which one can distinguish between different primitives in a texture[35]. A well-contrasted image is an image in which primitives are clearly visible and separable. The ... See full document
7
Classification of Dermoscopy Images for Early Detection of Skin Cancer – A Review
... namely texture and colour. It is a classification system medically inspired for melanoma identification problem which is a simplified mechanism describing different dermoscopy features Barata, ... See full document
7
Classification of Digital Mammograms Into Masses and Non Masses using Texture Combination Features and SVM
... After enhancement of mammographic image, the next step considers the identification of the masses from the mammographic images. In [5] review of the different existing ways of the segmentation of masses and the automatic ... See full document
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