A Recognition System Using Probabilistic Decisions Based on Extracted Features

نویسندگان

  • P. Murden
  • M. Symons
چکیده

The p a p e r d e s c r i b e s a p a t t e r n r e c o g n i t i o n sys tem t h a t has been s i m u l a t e d u s i n g a computer w i t h a n o n l i n e camera i n p u t . The sys tem i s a d a p t i v e , u s i n g a t r a i n i n g s e t o f p i c t u r e s t o g e t h e r w i t h t h e names o r c l a s s e s t o wh i ch each p i c t u r e b e l o n g s . The sys tem uses an edge f o l l o w i n g t e c h n i q u e f o r e x t r a c t i n g f e a t u r e s f r o m t h e m u l t i l e v e l i n p u t s . D u r i n g t h e t r a i n i n g mode, some o f t h e d e s c r i p t o r s d e r i v e d f r o m t h e e x t r a c t e d f e a t u r e s a r e s t o r e d . A l s o , t h e sys tem b u i l d s u p s t a t i s t i c s o f t h e l i k e l i h o o d o f a p i c t u r e b e l o n g i n g t o a g i v e n c l a s s g i v e n t h e p resence o f each i n c o m i n g f e a t u r e .

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تاریخ انتشار 1969