Administrative Document Processing.

Date of Submission

December 2016

Date of Award

Winter 12-12-2017

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Computer Vision and Pattern Recognition Unit (CVPR-Kolkata)


Pal, Umapada (CVPR-Kolkata; ISI)

Abstract (Summary of the Work)

In this work we have developed a system which retrieve the document images from a collection of documents based on Logo, Seal or Signature. This work presents a two stage approach for retrieving the documents. In the first stage detection of Logo, Seal and Signature is done by extracting the non-text part from document and fed to Support Vector Machine (SVM) to detect whether it is Logo, Seal or Signature. Scale-Invariant Feature Transform (SIFT) descriptors and Spatial Pyramid matching are used for feature extraction. Second stage is recognition. Histogram of gradients is used for the recognition of logo and seal. For signature recognition, first the background blobs are extracted using character loops and water reservoir technique then Zernike moment feature is computed for each blobs and hierarchical clustering is used to generate the codebook. Using Generalized Hough Transform, we store some spatial features of signature blobs using the codebook which is used for the recognition of signature


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Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


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