This paper presents a new approach for document image decomposition and retrieval based on connected component analysis and geometric properties of the labelled regions. The database contains document images with Arabicpersian text combined with English text, headlines, ruling lines, trade mark and signature. In particular, Arabicpersian signature extraction is investigated using special characteristics of the signature that is fairly different from English signatures. A set of efficient, invariant and compact features is extracted for validation purposes using angularradial partitioning of the signature region. Experimental results show the robustness of the proposed method.
Chalechale et al. REF proposed an approach for signature-based document retrieval using connected component analysis and a geometric property-based feature.
Signature-based document retrieval
Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)
Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)
Computer Science