MATLAB Implementation of Fingerprint Segmentation Algorithm with GUI Interface

This article discusses the implementation and application of a fingerprint segmentation algorithm in MATLAB. The algorithm performs robust separation between fingerprint foreground (ridge patterns) and background regions using advanced image processing techniques. Key implementation aspects include: - Adaptive thresholding methods for initial region classification - Morphological operations to refine segmentation boundaries - Texture analysis components for distinguishing fingerprint patterns from noise The algorithm has been rigorously tested on the FVC fingerprint database, demonstrating superior performance in accurately isolating fingerprint ridges from complex backgrounds. The MATLAB implementation includes a comprehensive GUI interface that allows users to: - Load fingerprint images from various sources - Adjust segmentation parameters in real-time - Visualize intermediate processing steps - Export segmentation results for further analysis This represents a previously unpublished approach to fingerprint segmentation, incorporating unique preprocessing and postprocessing routines that enhance separation accuracy. The code structure is modular, with main functions handling image loading, feature extraction, classification, and result visualization, making it both practical for immediate use and adaptable for research modifications.