On fast recognition of isolated characters by constructing character signature database

Muhammad, Azam Sheikh; Mansoor, Z; Sharif, Muddsair

doi:10.1109/icet.2006.336015

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…In this paper [10], the concept of image signature scaling factories applied, which controlled the scale of horizantal and vertical segmentation of Urdu, Arabic and English text images for signature calculation. Count of black pixels in binary image of the character is Signature values.…”

Section: Segmentation Methods For Urdu Recognitionmentioning

confidence: 99%

Arabic script based character segmentation: A review

Naz

Hayat

Razzak

et al. 2013

2013 World Congress on Computer and Information Technology (WCCIT)

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Segmentation based Arabic script based languages character recognition has been a popular field of research for many years. The challenging nature of Arabic script recognition has attracted the attention of researchers from both industry and academic circles but these efforts have not achieved good results until now. Segmentation of Urdu script when written in Nasta'liq writing style is very difficult task due to the complexity of writing style as compare to Naskh writing style. Good segmentation is one of reasons for high accuracy. Character segmentation has been a critical phase of the OCR process. The higher recognition rates for isolated characters as compare to results of words or connected character well illustrate the importance of segmentation. Current study investigate the recent work for character segmentation and challenges for segmentation for Arabic script based languages.

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Section: Segmentation Methods For Urdu Recognitionmentioning

confidence: 99%

Arabic script based character segmentation: A review

Naz

Hayat

Razzak

et al. 2013

2013 World Congress on Computer and Information Technology (WCCIT)

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“…The association of dots and marks, with the relevant base forms, is carried out with the help of centroidto-centroid distance and achieved 94% accuracy for a set of 1282 unique ligatures. The image signature scaling based method performing both horizontal and vertical scaling of Urdu, Arabic, and English text images for the signature calculation has been used by Azam et al [7]. A segmentation based technique proposed in [8] for the recognition of Urdu script on compound ligatures handled the six classes of characters in single-column documents.…”

Section: Segmentationmentioning

confidence: 99%

Offline Recognition of Handwritten Urdu Characters using B Spline Curves: A Survey

Jameel¹,

Kumar²

2017

IJCA

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Handwritten Character Recognition is an active area of research in the field of pattern recognition and image processing for last two decades as there is an urgent need of having a successful Script Recognition System to convert handwritten documents into computer understandable form which is applicable for various purposes. Several research studies have been carried out for recognition of other scripts like Chinese, Japanese, English, Devanagari, etc. but the research regarding Urdu Script is still immature due to cursive and variable nature of Urdu characters. The requirement of offline Urdu HCR systems is increasing because of the expansion of technology and the convenience for users. In this paper, a detailed survey of Urdu HCR techniques with respect to feature extraction developed so far alongwith their efficiency and accuracy has been presented. The paper also presents a new proposed B-Spline Curve approximation approach for feature extraction of offline isolated Urdu handwritten characters.

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