Shape measures for content based image retrieval: a comparison
Information Processing and Management: an International Journal
Automatic Document Logo Detection
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
An experimental comparison of seven shape descriptors in the general shape analysis problem
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
An efficient color representation for image retrieval
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
| Hi-index | 0.00 |
The article presents current challenges in stamp detection problem. It is a crucial topic these days since more and more traditional paper documents are being scanned in order to be archived, sent through the net or just printed. Moreover, an electronic version of paper document stored on a hard drive can be taken as forensic evidence of possible crime. The main purpose of the method presented in the paper is to detect, localize and segment stamps (imprints) from the scanned document. The problem is not trivial since there is no such thing like "stamp standard". There are many variations in size, shape, complexity and ink color. It should be remembered that the scanned document may be degraded in quality and the stamp can be placed on relatively complicated background. The algorithm consists of several steps: color segmentation and pixel classification, regular shapes detection, candidates segmentation and verification. The paper includes also the initial results of selected experiments on real documents having different types of stamps.