In this paper, we present a new approach to extracting the target text line from a document image captured by a pen scanner. Given the binary image, a set of possible text lines are first formed by nearest-neighbor grouping of connected components (CC). They are then refined by text line merging and adding the missed CCs. The possible target text line is identified by using a geometric feature based score function and fed to an OCR engine for character recognition. If the recognition result is confident enough, the target text line is accepted. Otherwise, all the remaining text lines are fed to the OCR engine to verify whether an alternative target text line exists or the whole image should be rejected. The effectiveness of the above approach is confirmed by experiments on a testing database consisting of 117 document images captured by C-Pen and ScanEye pen scanners.
An approach to extracting the target text line from a document image captured by a pen scanner
2003-01-01
365359 byte
Conference paper
Electronic Resource
English
An Approach to Extracting the Target Text Line from a Document Image Captured by a Pen Scanner
British Library Conference Proceedings | 2003
|Rectifying the Bound Document Image Captured by the Camera: A Model Based Approach
British Library Conference Proceedings | 2003
|Mosaicing of camera-captured document images
British Library Online Contents | 2009
|European Patent Office | 2022
|