By Topic

Analysis of complex and noisy check images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Graf, H.P. ; AT&T Bell Labs., Holmdel, NJ, USA ; Burges, C.J.C. ; Cosatto, E. ; Nohl, C.R.

We describe an image analysis system for handling complex and noisy images of forms and bank documents, such as business checks, personal checks, or bank deposits. Some of these document types have no standardized layout, requiring a careful analysis of the whole image, to find out where the relevant information, for example the courtesy amount, is located. Each element in the image is first classified as being part of machine printed text, handwritten text, or as being a graphical element, such as a line. To obtain a reliable identification of these different elements under noisy conditions, a set of templates is scanned over the image, extracting such elements as strokes, line end stops and corners. From this representation a quick and robust analysis of the image's content is possible to identify the different parts. Once a set of candidate subimages has been found, they are sent to a field recognition system. We describe an example of one such system, which locates and reads courtesy amounts on US checks

Published in:

Image Processing, 1995. Proceedings., International Conference on  (Volume:3 )

Date of Conference:

23-26 Oct 1995