Arama Sonuçları - "optical character recognition"

Optical Character Recognition Systems for Different Languages with Soft Computing Yazar: Chaudhuri, Arindam, Mandaviya, Krupa, Badelia, Pratixa, K Ghosh, Soumya

Full-text access

Sensors and Image Processing Proceedings of CSI 2015 /

İçindekiler: “…A Comparative Study of Various Color Texture Features for Skin Cancer Detection -- Pattern Classification and Retrieval of Content Based Images - A Step Towards Amelioration -- Novel Threshold Formulation for Energy Detection Method to Efficient Spectrum Sensing in Cognitive Radio -- Advanced technique to Crawl the images -- A Novel Web Page Change Detection Technique for Migrating Crawlers -- Developing Prototype for Prosopagnosia Using PCA -- Implementation of Smart Video Surveillance System Using Motion Detection Technique -- Intelligent Algorithm for Automatic Multistoried Parking System Using Image Processing, with Vehicle Tracking and Monitoring from Different Locations in the Building -- Computer Aided Detection of Breast Cancer Using Pseudo Zernike Moment as a Texture Descriptors -- Analysis of Leukoderma Images using Neuro-Fuzzy Hybrid Technique -- Texture and Clustering-Based Skin Disease Classification -- Melanoma Skin Cancer Detection Using Image Processing -- Performance Assessment for Clustering Techniques for Image Segmentation -- Automatic Seed Point Selection in B-Mode Breast Ultrasound Images -- EEA-LEACH - Trustworthy Enhanced Algorithm for Energy Optimization in Wireless Sensor Networks -- Secure Cluster Based Data Integrity Routing for Wireless Sensor Networks -- Objects Detection and Tracking Strategies -- Road Accident Informer System -- Hybrid Intelligent Algorithm for Energy Efficient Routing in WSN -- A Method for Secret Image Transmission to Preserve Privacy -- Text Retrieval from Scanned Forms Using Optical Character Recognition -- Combined Approach of Fuzzy Image Blocking Implementation for Medical Image Fusion -- A Systematic Review on Image Enhancement Techniques -- Virtual Field and Wave Laboratory Using Scilab and JAVA -- Classification and Comparative Study of IRS LISS-III Satellite Images Using RBFN and Decision Tree -- An Analytic Review on Image Enhancement Techniques Based on Soft Computing Approach -- An Auto-Threshold Control for Isolating False Shadowfrom High-Resolution Images.…”
Full-text access

Neural Network Computer Vision with OpenCV 5. Yazar: Nuti, Gopi Krishna

Full-text access

Fundamentals of Image, Audio, and Video Processing Using MATLAB : With Applications to Pattern Recognition. Yazar: Parekh, Ranjan

İçindekiler: “…2.8 Musical Instrument Digital Interface (MIDI) -- 2.9 Temporal Filters -- 2.10 Spectral Filters -- 2.11 Audio Processing Using Simulink -- Review Questions -- 3 Video Processing -- 3.1 Introduction -- 3.2 Toolboxes and Functions -- 3.2.1 Basic MATLAB (BM) Functions -- 3.2.2 Computer Vision System Toolbox (CVST) Functions -- 3.3 Video Input Output and Playback -- 3.4 Processing Video Frames -- 3.5 Video Color Spaces -- 3.6 Object Detection -- 3.6.1 Blob Detector -- 3.6.2 Foreground Detector -- 3.6.3 People Detector -- 3.6.4 Face Detector -- 3.6.5 Optical Character Recognition (OCR) -- 3.7 Motion Tracking -- 3.7.1 Histogram Based Tracker -- 3.7.2 Optical Flow -- 3.7.3 Point Tracker -- 3.7.4 Kalman Filter -- 3.7.5 Block Matcher -- 3.8 Video Processing Using Simulink -- Review Questions -- 4 Pattern Recognition -- 4.1 Introduction -- 4.2 Toolboxes and Functions -- 4.2.1 Computer Vision System Toolbox (CVST) -- 4.2.2 Statistics and Machine Learning Toolbox (SMLT) -- 4.2.3 Neural Network Toolbox (NNT) -- 4.3 Data Acquisition -- 4.4 Pre-processing -- 4.5 Feature Extraction -- 4.5.1 Minimum Eigenvalue Method -- 4.5.2 Harris Corner Detector -- 4.5.3 FAST Algorithm -- 4.5.4 MSER Algorithm -- 4.5.5 SURF Algorithm -- 4.5.6 KAZE Algorithm -- 4.5.7 BRISK Algorithm -- 4.5.8 LBP Algorithm -- 4.5.9 HOG Algorithm -- 4.6 Clustering -- 4.6.1 Similarity Metrics -- 4.6.2 k-means Clustering -- 4.6.3 Hierarchical Clustering -- 4.6.4 GMM-Based Clustering -- 4.7 Classification -- 4.7.1 k-NN Classifiers -- 4.7.2 Artificial Neural Network (ANN) classifiers -- 4.7.3 Decision Tree Classifiers -- 4.7.4 Discriminant Analysis Classifiers -- 4.7.5 Naive Bayes Classifiers -- 4.7.6 Support Vector Machine (SVM) Classifiers -- 4.7.7 Classification Learner App -- 4.8 Performance Evaluation -- Review Questions -- Function Summary -- References -- Index.…”
Full-text access