Fingerprint Feature Extraction with Directional Pattern and Local Variance Analysis

In fingerprint feature extraction, image segmentation is performed by combining directional patterns with local grayscale variance, followed by threshold segmentation to eliminate edge effects and achieve optimal segmentation results. This method leverages orientation estimation and statistical texture analysis for improved feature localization.