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Stamp Detection and Classification Methods by nikhil786pal is a document available to read on EtoBox.

The research article presents a method for detecting and classifying rubber stamps in scanned documents using image processing and pattern recognition techniques. The proposed approach utilizes color space transformation and shape-specific algorithms to identify stamps of various colors and shapes, achieving high accuracy even in the presence of overlapping text or signatures. Experiments demonstrate the effectiveness of the method on a substantial dataset of real documents, highlighting its potential for p

Author
nikhil786pal
Language
EN