Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

A Hilbert Warping Algorithm for Recognizing Characters from Moving Camera

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
Ishida, H. ; Grad. Sch. of Inf. Sci., Nagoya Univ., Nagoya ; Ide, I. ; Murase, H. ; Takahashi, T.

We present a method for recognizing characters from image sequences captured by moving camera. In the proposed method, the sequence of the captured images is compared with those of reference character patterns using the concept of analytic signal. Since the captured image sequence can be nonlinearly warped along the time axis due to the movement of a hand-held camera, phase synchronization of two analytic signals is used for the alignment of two image sequences. Hilbert transform is used to convert all the image sequences into analytic signals whose phases are supposed to be increasing. Experimental results showed the usefulness of the proposed phase-based alignment algorithm.

Published in:

Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on

Date of Conference:

16-19 Sept. 2008