1994
DOI: 10.1016/0031-3203(94)90166-x
|View full text |Cite
|
Sign up to set email alerts
|

Arabic character recognition using fourier descriptors and character contour encoding

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
25
0
1

Year Published

1996
1996
2019
2019

Publication Types

Select...
5
3
2

Relationship

0
10

Authors

Journals

citations
Cited by 79 publications
(26 citation statements)
references
References 14 publications
0
25
0
1
Order By: Relevance
“…The feature-based approaches can be of two types, namely spatial domain and transform domain approaches [25][26][27][28][29][30][31][32]. Spatial domain approaches derive features directly from the pixel representation of the pattern.…”
Section: Ocr Methods and Work On Indian Language Scriptsmentioning
confidence: 99%
“…The feature-based approaches can be of two types, namely spatial domain and transform domain approaches [25][26][27][28][29][30][31][32]. Spatial domain approaches derive features directly from the pixel representation of the pattern.…”
Section: Ocr Methods and Work On Indian Language Scriptsmentioning
confidence: 99%
“…In literature the term 'shape' often refers to the geometry of an object's physical surface [16]. Existing methods of shape analysis are mostly concerned with shape recognition [84], [85] [86], [87], [88,89], [90], [91], [92], [93] [94]. Visual systems applying shape as their knowledge are called model-based object recognition systems and have been used extensively by vision researchers [70], [95], [96], [97].…”
Section: Learningmentioning
confidence: 99%
“…Some of these approaches extract features from the boundaries or the skeleton of the letters to define Fourier descriptors [11,16,4] or rely on the Fourier spectrum of the characters [4,17]. Other approaches extract features from the character strokes, which are fed to a Bayes classifier to recognize the input character [18].…”
Section: Related Workmentioning
confidence: 99%