Retracted: The Algorithms for Segmentation of Text-Lines in Handwriting Images

Text line segmentation from handwriting image is the basis of handwriting text image processing, and the accuracy of line segmentation plays a decisive role in handwriting identification, handwriting recognition, handwriting retrieval and other research fields. The accuracy of line segmentation may directly lead to the accuracy and efficiency of handwriting identification, character recognition and text retrieval. Because offline handwriting has lost the order of writing and other information, which makes it more difficult to segment the offline handwriting image. This paper mainly aims at the complexity of the segmentation problem caused by the diversity of off-line handwriting styles, such as tilt, adhesion, overlap and so on, and compares the related solutions in recent years. In the end, some problems in line segmentation research are put forward or omitted, which is more convenient for readers to understand the field.