In this paper an efficient approach for segmentation of the individual characters from
scanned documents typed on old typewriters is proposed. The approach proposed in this …

Optical Character Recognition consists of various steps like skew detection, segmentation of
columns, lines, words, and characters before feeding the isolated character to an optical …

A major difficulty for designing a document image segmentation methodology is the proper
value selection for all involved parameters. This is usually done after experimentations or …

A novel character segmentation method for printed documents is proposed in this paper. It is
very difficult to process touching, overlapping and broken characters simultaneously. The …

This study presents a new method, namely the multi-plane segmentation approach, for
segmenting and extracting textual objects from various real-life complex document images …

Document image processing is one of the growing research fields in the digital world for
applications like data base indexing, text recognition, signature verification, web-searching …

Current developments in sensors open new possible uses across numerous real-life
applications, including optical character recognition (OCR). An OCR system requires …

Offline Character segmentation of text images is an important step in many document image
analysis and recognition (DIAR) applications. However, the character segmentation of both …

Document image segmentation is one of the critical phases in handwritten character
recognition system. Correct segmentation of individual characters decides the accuracy of …

In computer vision, segmentation is the process of partitioning a digital image into multiple
segments (sets of pixels). Image segmentation is thus inevitable. Segmentation used for text …