Vision-Based Single-Stroke Character Recognition for Wearable Computing

نویسندگان

  • Ömer Faruk Özer
  • Oguz Özün
  • C. Öncel Tüzel
  • Volkan Atalay
  • A. Enis Çetin
چکیده

We describe a method for recognizing the regular characters drawn by hand gestures or by a pointer on the forearm of the user captured by a head mounted camera for wearable computing. We assume that each character is drawn by a single stroke and in an isolated manner as in Graffiti. Recognition is performed by a bank of finite state machines whose input is the chain code of the hand drawn character.

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عنوان ژورنال:
  • IEEE Intelligent Systems

دوره 16  شماره 

صفحات  -

تاریخ انتشار 2001