Recognition of very low-resolution characters from motion images captured by a portable digital camera

Authors:
Shinsuke Yanadume;Yoshito Mekada;Ichiro Ide;Hiroshi Murase
Affiliations:
Graduate School of Information Science, Nagoya University, Aichi, Japan;Life System Science and Technology, Chukyo University, Aichi, Japan;Graduate School of Information Science, Nagoya University, Aichi, Japan;Graduate School of Information Science, Nagoya University, Aichi, Japan
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2004

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Abstract

Many kinds of digital devices can easily take motion images such as digital video cameras or camera-equipped cellular phones. If an image is taken with such devices under everyday situations, the resolution is not always high; moreover, hand vibration can cause blurring, making accurate recognition of characters from such poor images difficult. This paper presents a new character recognition algorithm for very low-resolution video data. The proposed method uses multi-frame images to integrate information from each image based on a subspace method. Experimental results using a DV camera and a phone camera show that our method improves recognition accuracy.