Low-Resolution Character Recognition by Video-Based Super-Resolution

In this paper, we propose a method for recognizing lowresolution characters using a super-resolution technique. Although portable digital cameras can be used for camerabased character recognition, the captured images contain several types of noises which make the recognition task difficult. We introduce a phase of super-resolution before the recognition to enhance the resolution of images obtained from a video. The proposed method uses the subspace method for the recognition of characters which are integrated from multiple low-resolution characters by the super-resolution technique. Experimental results show that the proposed method improves the recognition accuracy; we confirmed that the recognition rate for the input size of 7

• Type: Journal
• Year: 2009
• Where: ICDAR
• Authors: Ataru Ohkura, Daisuke Deguchi, Tomokazu Takahashi, Ichiro Ide, Hiroshi Murase
• Keywords: Document Analysis, ICDAR 2009, Input Size, Portable Digital Cameras, Super-resolution Technique