Stamp processing with examplar features
This work addresses the problem of document digitization for users needing automated stamp processing, but it appears incremental as it builds on existing shape-based and unsupervised methods.
The paper tackled automatic stamp verification and detection in document images by proposing a shape-based approach using unsupervised feature learning, achieving effective results in challenging scenarios.
Document digitization is becoming increasingly crucial. In this work, we propose a shape based approach for automatic stamp verification/detection in document images using an unsupervised feature learning. Given a small set of training images, our algorithm learns an appropriate shape representation using an unsupervised clustering. Experimental results demonstrate the effectiveness of our framework in challenging scenarios.