A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Address Block Location on Handwritten and Machine Printed Mail--piece Images
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Form--Based Localization of the Destination Address Block on Complex Envelopes
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Text Area Localization under Complex-Background Using Wavelet Decomposition
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Multiscale image segmentation using wavelet-domain hidden Markov models
IEEE Transactions on Image Processing
Segmentation of Chinese Postal Envelope Images for Address Block Location
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Measuring the quality evaluation for image segmentation
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
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This paper presents a segmentation algorithm basedon feature selection in wavelet space. The aim is toautomatically separate in postal envelopes the regionsrelated to background, stamps, rubber stamps, and theaddress blocks. First, a typical image of a postalenvelope is decomposed using Mallat algorithm and Haarbasis. High frequency channel outputs are analyzed tolocate salient points in order to separate the background.A statistical hypothesis test is taken to decide upon moreconsistent regions in order to clean out some noise left.The selected points are projected back to the originalgray level image, where the evidence from the waveletspace is used to start a growing process to include thepixels more likely to belong to the regions of stamps,rubber stamps, and written area. Experiments are runusing original postal envelopes from the Brazilian PostOffice Agency, and here we report results on 440 imageswith many different layouts and backgrounds.