Haar wavelet transform based text extraction from complex videos
Sathish Kumar Selvaperumal, Arun Seeralan, Chandrasekharan Nataraj, Ravi Lakshamanan · 2016
In this paper, a text extraction algorithm has been developed and simulated to extract text from a complex video scene by using Matlab software. Morphological operations and Haar wavelet transform have been used to design the filter to remove the non-text pixels. An experimental setup has been set and performed. The results from different tests of the algorithm have been obtained and analysed. The algorithm has been found to perform better on videos files with higher resolution and with text that has a noticeable difference in colors from its background. Though it performs better on video at higher resolution but at the expense of the computation time. It has been found that on the video at 1280×800, it required 4 hours and 47 minutes while at a resolution of 800×600 it required 1 hour and 43 minutes while at 640×480 it required only 30 minutes and 28 seconds. All three video are of the same duration of 1 minute and 17 seconds. The recall rate and precision rate is found to be 0.908 and 0.890 which is better as compared to the existing algorithms.