Decoding Run-Length Code with Fingerprint Extraction in MATLAB

This MATLAB source code provides a comprehensive solution for decoding run-length encoded data and extracting fingerprint features from digital images. The implementation consists of one primary M-file script accompanied by three fingerprint image files for practical testing and validation. The core algorithm employs MATLAB's image processing capabilities to decode run-length compressed fingerprint data, which is commonly used for efficient storage of biometric information. Key functions include run-length decoding routines that convert compressed data back into full fingerprint images, followed by sophisticated feature extraction techniques that identify unique fingerprint patterns, minutiae points, and ridge characteristics. The code implements several critical steps: first, it processes the run-length encoded data using iterative decoding algorithms that reconstruct the original image matrix. Then, it applies advanced fingerprint processing techniques including image enhancement, binarization, and thinning operations to prepare the image for feature extraction. The final stage involves pattern recognition algorithms that identify and catalog distinctive fingerprint features essential for biometric identification systems. By executing this source code, researchers can obtain detailed fingerprint image analytics, perform comparative studies, and develop enhanced fingerprint recognition systems. This implementation serves as a valuable resource for both academic research and practical applications in biometric security and digital image processing, providing a solid foundation for further development in fingerprint analysis algorithms.