Semi-supervised cluster-and-label with feature based re-clustering to reduce noise in Thai document images
We proposed a novel noise reduction method for document images. Semi-supervised learning is applied to classify noise from character components. The proposed method is suitable for Non-Latin based scripts i.e. Thai document image. We proposed an enhance labeling method of semi-supervised cluster-and-label approach. The performance of proposed methods are significantly better than comparison methods.
cluster-and-label thai document noise reduction document enhancement semi-supervised classification