Parallel approximate string matching applied to occluded object recognition

• Main Author: Smith, David
• Format: Others
• Published: PDXScholar 1987
• Subjects: Image processing > Digital techniques; Electrical and Computer Engineering
• Online Access: https://pdxscholar.library.pdx.edu/open_access_etds/3724; https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=4733&context=open_access_etds

This thesis develops an algorithm for approximate string matching and applies it to the problem of partially occluded object recognition. The algorithm measures the similarity of differing strings by scanning for matching substrings between strings. The length and number of matching substrings determines the amount of similarity. A classification algorithm is developed using the approximate string matching algorithm for the identification and classification of objects. A previously developed method of shape description is used for object representation.