TEXT EXTRACTION FROM SKEWED TEXT LINES

Text Extraction from Skewed Images

The extraction of text in an image is a classical problem in the computer vision. Extraction involves detection, localization, tracking, extraction, enhancement and recognition of the text from the given image. However variation of text due to difference in size, style, orientation, alignment, low image contrast and complex background make the problem of automatic text extraction extremely chal...

Segmentation of Touching, Overlapping, Skewed and Short Handwritten Text Lines

Text line segmentation is an inherent part of document recognition system and important preprocessing step for word and character segmentation. Presence of touching or overlapping text lines, short-lines, curvilinear or skewed lines and small or variant gaps between the text lines make the segmentation challenging. These variations cause errors in recognition phase. This paper describes the top...

Segmentation of Touching, Overlapping, Skewed and Short Handwritten Text Lines

Text line segmentation is an inherent part of document recognition system and important preprocessing step for word and character segmentation. Presence of touching or overlapping text lines, short-lines, curvilinear or skewed lines and small or variant gaps between the text lines make the segmentation challenging. These variations cause errors in recognition phase. This paper describes the top...

EXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS

Due to the explosive growth of the world-wide web, automatictext summarization has become an essential tool for web users. In this paperwe present a novel approach for creating text summaries. Using fuzzy logicand word-net, our model extracts the most relevant sentences from an originaldocument. The approach utilizes fuzzy measures and inference on theextracted textual information from the docu...

Information Extraction from Text