[PDF] Top 20 Printed and Handwritten Mixed Kannada Numerals Recognition Using SVM
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Printed and Handwritten Mixed Kannada Numerals Recognition Using SVM
... Devanagari and Bangla script characters and ...the recognition of other languages like Telugu, Malayalam, and ...Structural and topological feature based tree classifier and ... See full document
5
Recognition of Historical Records Using Gabor and Zonal Features
... of handwritten document images, which facilitates many important applications such as sorting, transcription of multilingual documents and indexing of large collection of such images, or as a precursor to ... See full document
13
MODIFIED VIEW BASED APPROACHES FOR HANDWRITTEN TAMIL CHARACTER RECOGNITION
... criterion and KNN classifier is used to classify the handwritten Kannada ...experimentation and overall accuracy is found to be 85.53%. Rajashekararadhya and Vanaja proposed an offline ... See full document
10
Optical Character Recognition for Isolated Offline Handwritten Devanagari Numerals Using Wavelets
... input and the feature vector of data ...set and number of free parameters. There are many existing classical and soft computing techniques for handwritten ...for recognition of ... See full document
7
Gait recognition using normalized shadows
... gait recognition, but faces several limitations especially for outdoor operation, in the presence of an illumination source, such as the ...sun and the camera, the shadow silhouettes should be normalized ... See full document
6
MULTI-LABEL CLASSIFICATION OF PRODUCT REVIEWS USING STRUCTURED SVM
... classes and multiple class ...problem and this work proposes a new approach called ‘Structured Support Vector Machines’ for learning and ...variables and structured output ...classification ... See full document
8
Ica and neural networks for kannada signature identification
... largest and oldest part used for ...(ICA) and neural networks is proposed to study on Kannada ...of Kannada signature has been considered and the result is found to be accurate ... See full document
8
Optimizing Face Recognition Using PCA
... facial recognition can be decomposed into four phases: pre- processing phase, segmentation or localization, feature extraction phase and recognition ...probe and gallery images must be the ... See full document
9
Bag of Features Based Remote Sensing Image Classification Using RANSAC And SVM
... information and is suitable for fast and accurate features in huge data set and will produce a large number of feature vectors even though there are a few ...classification and regression. ... See full document
6
Prevention of Spammers and Promoters in Video Social Networks using SVM-KNN
... 2) Building Test Collection: The main goal of creating a user test collection is to study the patterns and characteristics of each class of users. Our user test collection aims at supporting research on detecting ... See full document
7
Classification of EEG data using FHT and SVM based on Bayesian Network
... data and recognize patterns, used for classification and regression ...standard SVM takes a set of input data and predicts, for each given input, which of two possible classes the input is a ... See full document
5
Hybrid Feature Based War Scene Classification using ANN and SVM: A Comparative Study
... object recognition and environment navigation. Scene and object classification are important research topics in robotics and computer ...studied and reported by the research community ... See full document
9
Medicinal Plant Recognition of Leaf Shape using Localized Arc Pattern Method
... structure and shape of its. Based on these problem, plant recognition based on vein and shape are made by using Localized Arc Pattern ... See full document
8
ALGORITMOS DE APRENDIZAGEM DE MÁQUINA E VARIÁVEIS DE SENSORIAMENTO REMOTO PARA O MAPEAMENTO DA CAFEICULTURA.
... A cafeicultura é uma das principais culturas agrícolas do Brasil e realizar o mapeamento e monitoramento desta cultura é fundamental para conhecer sua distribuição espacial. Porém, mapear estas áreas utilizando imagens ... See full document
23
Robust Non-Linear Direct Torque and Flux Control of Adjustable Speed Sensorless PMSM Drive Based on SVM Using a PI Predictive Controller
... frequency using Space Vector Modula- tion ...stator and rotor resistance due to changes in temperature or frequency deteriorates the performance of DTC-SVM controller by introducing errors in the ... See full document
8
Efficient Facial Expression and Face Recognition using Ranking Method
... facial recognition system that can be used in application of Human computer ...Analysis and Euclidean Distance ...expression recognition system uses Euclidean Distance ...find and recognize ... See full document
4
Emotion Recognition from Speech using Prosodic and Linguistic Features
... for recognition of emotions from speech using different sets of ...energy and acoustic parameters of speech to find acoustic similarity and difference between different states of ...properties ... See full document
7
Cortical 3D face and object recognition using 2D projections
... ,QWHUQDWLRQDO-RXUQDORI&UHDWLYH,QWHUIDFHVDQG&RPSXWHU*UDSKLFV -DQXDU\-XQH UHFRJQLWLRQIUDPHZRUNFDQQRW\HWEHFRPSDUHG ZLWKRWKHUIUDPHZRUNVEHFDX[r] ... See full document
19
International Conference on Image Analysis and Recognition
... We de ne an attributed graph as a graph G = (V, E, A) where V represents a set of nodes, E , the edges between nodes, and A , attributes. Ea h node v i ∈ V or edge e ij ∈ E has an asso iated attribute a i ∈ A or a ... See full document
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