Crease Pattern

Crease patterns, the folds and lines found on various body parts (forehead, earlobes, palms) and surfaces (documents, origami), are the subject of growing research interest. Current studies focus on leveraging these patterns for biometric authentication, using convolutional neural networks (CNNs) like 3D spatio-temporal networks and specialized architectures for image rectification and crease detection. This research is significant for improving identity verification systems and enabling efficient processing of folded documents, while also contributing to medical diagnostics (e.g., heart disease risk assessment) and advancing the design of flexible structures in engineering. The development of novel algorithms and datasets is driving progress in this field.