Shape matching is a research area within computer vision and image processing that focuses on finding similarities between geometric shapes or objects in images. It involves developing algorithms and techniques to compare shapes based on their features, characteristics, and spatial relationships. Shape matching is used in various applications such as object recognition, pattern recognition, medical image analysis, and robotics. Researchers in this field aim to develop efficient and accurate methods for matching shapes to improve the performance of automated systems in various industries.