Vision-Based Single-Stroke Character Recognition for Wearable Computing

  • Authors:
  • Ömer Faruk Özer;Oguz Özün;C. Öncel Tüzel;Volkan Atalay;A. Enis Çetin

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • IEEE Intelligent Systems
  • Year:
  • 2001

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Abstract

The authors describe a new approach for data entry in wearable computing applications. A head-mounted digital camera records characters drawn by hand gestures or by a pointer on the forearm of the user. Similar to the Graffiti alphabet, the user draws each character in an isolated, single stroke. Based on their algorithm, a bank of finite state machines recognizes and processes the image's chain code to identify each hand-drawn character accurately.