CONFIRM - Clustering of noisy form images using robust matching.

•A clustering framework is proposed for clustering noisy form images.•Novel algorithms for matching text lines and rule lines are introduced.•We show 44% improvement over the state-of-the-art on 5 datasets of historical forms.•Sampling and bootstrapping is employed for scalability to large datasets.