Estimation of the Handwritten Text Skew Based on Binary Moments
Alternative metrics PlumXhttp://hdl.handle.net/11012/37026
MetadataShow full item record
Binary moments represent one of the methods for the text skew estimation in binary images. It has been used widely for the skew identification of the printed text. However, the handwritten text consists of text objects, which are characterized with different skews. Hence, the method should be adapted for the handwritten text. This is achieved with the image splitting into separate text objects made by the bounding boxes. Obtained text objects represent the isolated binary objects. The application of the moment-based method to each binary object evaluates their local text skews. Due to the accuracy, estimated skew data can be used as an input to the algorithms for the text line segmentation.
Document typePeer reviewed
SourceRadioengineering. 2012, vol. 21, č. 1, s. 162-169. ISSN 1210-2512
- 2012/1