Image Clusterization System

Image Clusterization System

A generic tool to perform automatic clustering of scanned images

Target users and customers

Everyone who has to group a large set of images in such a way that images in the same group are more similar to each other than to those in other groups, like for instance, in incoming mail processing.

Application sectors

  • Banking
  • Insurance
  • Industry


Two kinds of methods have been implemented. The first method consists in applying optical character recognition on pages. Distances are computed between images to classify and images contained in a database of labeled images. The second method consists in randomly selecting a pool of images inside a directory. For each image, invariant key points are extracted and characteristic features are computed (SIFT or SURF) to build the clusters.

Technical requirements:

Any Posix compliant system

Conditions for access and use:

Ask Jouve



  • Jouve

Contact details:

Jean-Pierre Raysz

Jouve R&D
1, rue du Dr Sauvé
53000 Mayenne