Recognition of handwritten Hindu numerals using structural descriptors

Elnagar, Ashraf; Harous, Saad

doi:10.1080/0952813021000047170

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Proposed Method: Statistical Geometric Components Of Straigh1

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2007

2022

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Cited by 10 publications

(2 citation statements)

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“…In this study, a new feature extraction method is presented to recognise Persian/Arabic handwritten words. It is noticeable that in Persian/Arabic words, unlike English [2,26], Chinese [27], Hindu [21], and Japanese [27,28] words, adjacent characters tend to connect.…”

Section: Proposed Method: Statistical Geometric Components Of Straighmentioning

confidence: 99%

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Statistical geometric components of straight lines (SGCSL) feature extraction method for offline Arabic/Persian handwritten words recognition

Tavoli

Keyvanpour

Mozaffari

2018

IET Image Processing

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Section: Proposed Method: Statistical Geometric Components Of Straighmentioning

confidence: 99%

“…As a result, the appropriate feature extraction can have a great impact on the recognition rate. Many statistical and structural features [21] have been applied for the recognition of handwritten words in Arabic handwritten texts.…”

Section: Related Workmentioning

confidence: 99%