Recognition of partially occluded objects using neural network based indexing

✍ Scribed by Navin Rajpal; Santanu Chaudhury; Subhashis Banerjee

• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 638 KB
• Volume: 32
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/s0031-3203(98)00164-2

✦ Synopsis

In this paper, a new neural network based indexing scheme has been proposed for recognition of planar shapes. Local contour segment-based-invariants have been used for indexing. Object contours have been obtained using a new algorithm which combines advantages of region growing and edge detection. Neighbourhood constraints have been applied on the results of indexing for combining hypotheses generated through the indexing scheme. Composite hypotheses have been veri"ed using a distance transform based algorithm. Experimental results, on real images of varying complexity of a reasonably large database of objects have established the robustness of the method.