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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Yanadume, S., Mekada, Y., Ide, I., Murase, H. (2004). Recognition of Very Low-Resolution Characters from Motion Images Captured by a Portable Digital Camera. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_31
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DOI: https://doi.org/10.1007/978-3-540-30541-5_31
Publisher Name: Springer, Berlin, Heidelberg
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