Results 51 to 60 of about 79,075 (205)
The Arabic language is one of the major languages that has little attention in character recognition field by Arab researchers in particular and foreign researchers in general.
Ahmed Subhi Abdalkafor
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Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN [PDF]
The handwriting style of every writer consists of variations, skewness and slanting nature and therefore, it is a stimulating task to recognise these handwritten documents.
Mamta Bisht , Richa Gupta
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In today’s digital era, the recognition of handwritten documents is highly demanding due to the widespread applications. Bangla is one of the most used languages in the world, which consists of 50 basic alphabets. Many compound characters exist in Bangla,
Mohammad Meraj Khan +3 more
semanticscholar +1 more source
Handwritten capital letter recognition based on OpenCV [PDF]
Handwriting capitalization recognition is a function of distinguishing handwritten capital letters by means of machine or computer intelligence, which is classified into the field of optical character recognition.
Lu Yuncong
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Handwritten text recognition is considered as the most challenging task for the research community due to slight change in different characters’ shape in handwritten documents.
Juanjuan Huang +5 more
semanticscholar +1 more source
Tri-stage offline Telugu character recognition system based on fusion of HOG and ULBP
The domain of pattern recognition has experienced a notable upsurge in the prevalence of handwritten character recognition, which is a research area that has been widely recognized for decades.However, this task presents significant challenges ...
Chandrakala Mukku, Miriala Santhosh
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Ranjana Script Handwritten Character Recognition using CNN
This paper proposes a public image database for Ranjana script Handwritten Character Datasets (RHCD), publicly available for Ranjana script researchers or anyone interested in the subject.
Jen Bati, Pankaj Raj Dawadi
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Kurdish Handwritten character recognition using deep learning techniques
Handwriting recognition is one of the active and challenging areas of research in the field of image processing and pattern recognition. It has many applications that include: a reading aid for visual impairment, automated reading and processing for bank checks, making any handwritten document searchable, and converting them into structural text form ...
Rebin M. Ahmed +7 more
openaire +4 more sources
OHSCR: Benchmarks Dataset for Offline Handwritten Sindhi Character Recognition
This research work presents a unique dataset for offline handwritten Sindhi character recognition. It has 7800 character images in total, divided into multiple categories by 150 writers of various ages, genders, and professional backgrounds. Each writer
Jakhro Abdul Naveed +3 more
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A FUZZY RECOGNITION MODEL FOR ARABIC HANDWRITTEN ALPHABET
A fuzzy recognition model for some handwritten Arabic alphabet is designed. This fuzzy model could be envisaged as an algorithm which is structured over two concepts.
Sami Kadhim Hasan Ar-Ramahi
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