Document Text Extraction from Document Images Using Haar Discrete Wavelet Transform

This paper presents an efficient and computationally fast method to extract text regions from documents. In this paper, we propose Haar discrete wavelet transform (DWT)[9] which operates the fastest among all wavelets because its coefficients are either 1 or -1. This is one of the reasons we employ Haar DWT to detect edges of candidate text regions. First, we detect edges and then line feature vector graph is generated based on the edge map and the stroke information is extracted. Finally text regions are generated and filtered according to line features. Experimental results show that, without increasing the computational cost, our proposed method could suppress the false alarms notably. Furthermore, our method can be easily customized for applications with different tradeoffs in recall and precision.