SPODS: A Dataset of Color-Official Documents and Detection of Logo, Stamp, and Signature

  • Amit Vijay NandedkarEmail author
  • Jayanta Mukherjee
  • Shamik Sural
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10481)


Office automation is an active area of research. It involves archival and retrieval of official documents. For developing a system for this purpose, it is necessary to have an extensive benchmark dataset consisting various types of official documents. However, it is hard to make available real world official documents as they are mostly confidential. In the absence of such benchmark datasets, it is difficult to evaluate newly developed algorithms. Hence, efforts have been made to build dataset consisting of different categories of documents that resemble real world official documents. In this work, we present a dataset called as scanned pseudo-official data-set (SPODS) which is created by us and made available online. Official documents are usually distinguished by presence of logo, stamp, signature, date, etc. The paper also presents a new approach for the detection of logo, stamp, and signature using spectral filtering and part based features. A comparative study on performances of the proposed method and existing algorithms on the SPODS dataset demonstrates the effectiveness of the proposed technique.


Document analysis Graphics recognition Document understanding 



This work is partially sponsored by the Ministry of Communications & Information Technology, Govt. of India; Ref.: MCIT 11(19)/2010-HCC (TDIL) dt. 28-12-2010.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Amit Vijay Nandedkar
    • 1
    Email author
  • Jayanta Mukherjee
    • 1
  • Shamik Sural
    • 1
  1. 1.Department of Computer Science and EngineeringIndian Institute of TechnologyKharagpurIndia

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