Asian Stamps Identification and Classification System
This addresses the problem of identifying and classifying Asian stamps for philatelists or archivists, but it is incremental as it applies existing feature extraction methods to a new dataset.
The paper tackled the problem of stamp recognition by classifying stamps to their country and year of publication, using a new approach based on color histograms, SIFT, and HOG features, achieving reasonable accuracy in initial evaluations.
In this paper, we address the problem of stamp recognition. The goal is to classify a given stamp to a certain country and also identify the year it is published. We propose a new approach for stamp recognition based on describing a given stamp image using color information and texture information. For color information we use color histogram for the entire image and for texture we use two features. SIFT which is based on local feature descriptors and HOG which is a dens texture descriptor. As a result on total we have three different types of features. Our initial evaluation shows that give these information we are able to classify the images with a reasonable accuracy.