High Performance Cluster Computing: Architectures and Systems
High Performance Cluster Computing: Architectures and Systems
A new algorithm for removing noisy borders from monochromatic documents
Proceedings of the 2004 ACM symposium on Applied computing
A fast orientation and skew detection algorithm for monochromatic document images
Proceedings of the 2005 ACM symposium on Document engineering
A new rotation algorithm for monochromatic images
Proceedings of the 2005 ACM symposium on Document engineering
Hi-index | 0.01 |
BigBatch is a tool designed to automatically process thousands of monochromatic images of documents generated by production line scanners. It removes noisy borders, checks and corrects orientation, calculates and compensates the skew angle, crops the image standardizing document sizes, and finally compresses it according to user defined file format. BigBatch encompasses the best and recently developed algorithms for such kind of document images. BigBatch may work either in standalone or operator assisted modes. Besides that, BigBatch in standalone mode is able to process in clusters of workstations.