Open AccessNeural Perceptual Model to Global-Local Vision for the Recognition of the Logical Structure of Administrative Documents
Author(s) -
Boulbaba Ben Ammar
Publication year - 2013
Publication title -
international journal of artificial intelligence and applications
Language(s) - English
Resource type - Journals
eISSN - 0976-2191
pISSN - 0975-900X
DOI - 10.5121/ijaia.2013.4507
Subject(s) - computer science , perception , artificial intelligence , logical data model , computer vision , cognitive science , psychology , data modeling , neuroscience , database
This paper gives the definition of Transparent Neural Network “TNN” for the simulation of the global-local vision and its application to the segmentation of administrative document image. We have developed and have adapted a recognition method which models the contextual effects reported from studies in experimental psychology. Then, we evaluated and tested the TNN and the multi-layer perceptron “MLP”,which showed its effectiveness in the field of the recognition, in order to show that the TNN is clearer for the user and more powerful on the level of the recognition. Indeed, the TNN is the only system which makes it possible to recognize the document and its structur