Title :
Shape signature for recognition process
Author :
Khalifa, Iraky H. ; Fahmi, Mohamed S H ; Hassanien, Aboul-Ella ; Elsalamony, H.A.R.M.
Author_Institution :
Fac. of Eng., Helwan Univ., Cairo, Egypt
Abstract :
Most of classical methods for shape recognition depend on classification of the object´s features. This paper, gets round these classical methods, and presents a technique to determine a signature for any given closed shape to recognize it. It is simple in calculations, efficient in time and space complexity. It is based on geometrical computations to represent the shape signature. It is found that the proposed technique is proper for the description and recognition process as well is illustrated by numerical examples
Keywords :
computational complexity; image classification; image coding; image representation; object recognition; chain code; closed shape; geometrical computations; object features classification; pattern recognition; recognition process; shape recognition; shape signature; space complexity; time complexity; Character recognition; Error analysis; Feature extraction; Fingerprint recognition; Image analysis; Image color analysis; Image edge detection; Image sequence analysis; Pattern recognition; Shape;
Conference_Titel :
Radio Science Conference, 2000. 17th NRSC '2000. Seventeenth National
Conference_Location :
Minufiya
Print_ISBN :
977-5031-64-8
DOI :
10.1109/NRSC.2000.838946
