Vision-Based Single-Stroke Character Recognition for Wearable Computing  

Oleh:

Ozer, O. F. ; Ozun, O. ; Tuzel, C. O. ; Atalay, V. ; Cetin, A. E.

Jenis: Article from Bulletin/Magazine
Dalam koleksi: IEEE Intelligent Systems vol. 16 no. 3 (2001), page 33-37.
Topik: vision; vision - based; single - stroke; character recognition; wearable computing

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.4 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Particularly when compared to traditional tools such as a keyboard or mouse, wearable computing data entry tools offer increased mobility and flexibility. Such tools include touch screens, hand gesture and facial expression recognition, speech recognition, and key systems. We describe a new approach for recognizing characters drawn by hand gestures or by a pointer on a user's forearm captured by a digital camera. We draw each character as a single, isolated stroke using a Graffiti -l ike alphabet. Our algorithm enables effective and quick character recognition. The resulting character recognition system has potential for application in mobile communication and computing devices such as phones, laptop computers, handheld computers and personal data assistants.

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