Implementation of OPTA Algorithm for Fingerprint Image Thinning

This document presents a simplified implementation of the OPTA algorithm for fingerprint image thinning. The OPTA algorithm serves as an image processing technique that enhances and refines fingerprint images to improve the accuracy and reliability of fingerprint recognition systems. Through the application of the OPTA algorithm, fingerprint images undergo sophisticated thinning processes that enable better extraction and identification of fingerprint features. The implementation typically involves iterative pixel analysis using 3x3 masks to remove redundant pixels while preserving critical ridge structures. Key functions include boundary detection, connectivity preservation, and endpoint identification to ensure topological integrity. This approach finds applications in various fingerprint recognition systems such as security access control systems, mobile device fingerprint unlocking mechanisms, and biometric authentication platforms. By implementing a simplified version of the OPTA algorithm, developers can better understand its core principles and apply them effectively for processing and analyzing fingerprint images in practical scenarios. The code structure generally involves sequential thinning iterations until converging to single-pixel-width skeletons while maintaining ridge continuity.