MATLAB Implementation of Probabilistic Neural Network
MATLAB source code for Probabilistic Neural Network, designed for pattern recognition and data classification tasks with probability-based decision making.
Phase Correlation-Based Image Registration
Phase correlation-based image registration implementation using MATLAB source code, primarily applied in detection and recognition domains with enhanced algorithmic explanations.
Recognition of Candidate ID Numbers on Answer Sheets with Image Processing Techniques
Identification of candidate ID numbers on answer sheets through grayscale conversion and image segmentation techniques, including practical applications for website development and enhancement.
PCA-Enhanced Scale Invariant Feature Transform (SIFT) Algorithm
Source code implementation of PCA-integrated SIFT algorithm for robust image object detection and recognition, featuring dimensionality reduction and keypoint descriptor optimization.
Vehicle License Plate Detection and Recognition from Input Images
Implementation of car license plate detection and recognition system capable of extracting license plate numbers from photographic input using computer vision techniques
MATLAB Implementation for License Plate Localization
A comprehensive program for license plate localization, character segmentation, and recognition with detailed code implementation approaches
Color-Component Based Vehicle License Plate Localization and Recognition
I developed a license plate recognition system based on color components. The main steps include: 1) Identifying license plates using grayscale values derived from color components (focused on blue plates) 2) Recognizing white characters within the identified blue regions. The implementation involves color space conversion, thresholding techniques, and morphological operations for accurate plate detection.
Digital Extraction and Recognition of Vehicle License Plates
Digital extraction and recognition of vehicle license plates through image processing techniques including enhancement, contrast adjustment, and machine learning implementation
Converting Boundaries to Images for Image Analysis
This source code primarily converts boundaries into images for image analysis, with significant applications in image segmentation, description, and recognition. The implementation may involve edge detection algorithms like Canny or Sobel operators, contour tracing techniques, and binary image conversion methods.
Extracting Invariant Image Features Using Radon Transform with Implementation Details
Using Radon transform to extract rotation-invariant image features, restoring images to their original orientation through inverse transformation for subsequent recognition tasks