2013
DOI: 10.1016/j.procs.2013.05.013
|View full text |Cite
|
Sign up to set email alerts
|

A New Character Segmentation Approach for Off-Line Cursive Handwritten Words

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
15
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 55 publications
(15 citation statements)
references
References 6 publications
0
15
0
Order By: Relevance
“…A skew correction is included to facilitate the recognition phase in the handwritten Malayalam OCR. In 2013, Choudhary et al [15] proposed a new handwriting recognition segmentation algorithm. In this method, the segmentation points are located after the sparse image words to obtain the width of a single pixel stroke.…”
Section: Previous Research Workmentioning
confidence: 99%
“…A skew correction is included to facilitate the recognition phase in the handwritten Malayalam OCR. In 2013, Choudhary et al [15] proposed a new handwriting recognition segmentation algorithm. In this method, the segmentation points are located after the sparse image words to obtain the width of a single pixel stroke.…”
Section: Previous Research Workmentioning
confidence: 99%
“…It is claimed that systems based on this type of segmentation are not useful for general text recognition. A study suggests this approach for systems in which a lexicon is statically defined, such as bank cheque recognition where vocabulary is limited [80].…”
Section: Holistic Approachmentioning
confidence: 99%
“…The principle of implicit segmentation is to utilize a sliding widow to segment the word image into frames of fixed width on which classification relies to make a decision [86]. Owing to challenges in segmentation of cursive scripts such as Arabic, researchers use the implicit segmentation approach in order to overcome the problems of word segmentation [80]. In www.ijacsa.thesai.org principle, by applying this type of segmentation, there is no need for a specific dissection algorithm for Arabic script segmentation and the accuracy performance relates to the classification performance [87].…”
Section: ) Implicit Segmentationmentioning
confidence: 99%
“…[1]. OCR most often includes three procedures, text localization, character segmentation and recognition [2] [3]. The recognition is a significant zone of image processing, which is on experienced stage for machine printed content.…”
Section: Introductionmentioning
confidence: 99%