Hybrid Particle Swarm Optimized Wavelet Network for Video OCR

A hybrid particle swarm optimization (PSO)-based wavelet neural network (WNN) for Video OCR is presented in this paper. Video OCR is an important task towards enabling automatic content-based retrieval of digital video databases. However, since text is often displayed against a complex background, its detection and extraction is a challenging problem. In this paper, wavelet transformation is done on the different current and the wavelet coefficients are obtained. The wavelet coefficients are given as inputs to the wavelet neural network trained by particle swarm optimization (PSO-WNN). The final network output of real text regions is different from those non-text regions. The experimental results demonstrate the effectiveness of the proposed method.