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handwritten Arabic character recognition

On line Handwritten Arabic Character Recognition using Artificial Neural Network

On line Handwritten Arabic Character Recognition using Artificial Neural Network

... of Arabic character ...of Arabic character recognition research throughout the last two ...and Arabic handwritten characters. Four different sets of character ...

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A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS

A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS

... of Arabic handwriting recognition in the literature has focused only on recognizing offline script, and few of research take online ...handwriting recognition faces a lot of challenges; feature ...

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A Comparative Study between the K Nearest Neighbors and the Multi Layer Perceptron for Cursive Handwritten Arabic Numerals Recognition

A Comparative Study between the K Nearest Neighbors and the Multi Layer Perceptron for Cursive Handwritten Arabic Numerals Recognition

... for recognition of handwritten Eastern Arabic, Romain, and Arabic numerals, have been proposed and realized, but the progress in cursive Arabic numerals recognition has been slow ...

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A New Approach to Persian and Arabic Handwritten Character Recognition with Hybrid of Artificial Neural Network and Genetic Algorithm

A New Approach to Persian and Arabic Handwritten Character Recognition with Hybrid of Artificial Neural Network and Genetic Algorithm

... Handwritten character recognition systems using automated pattern recognition is one of the important issues in the field of Information ...recognize handwritten of the Persian and ...

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Study of Different Off line Handwritten Character Recognition Algorithms for Various Indian Scripts

Study of Different Off line Handwritten Character Recognition Algorithms for Various Indian Scripts

... Handwritten recognition is an area of research where many researchers have presented their work and is still an area under research to achieve higher ...of handwritten script was the most convenient ...

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Spatial and Textural Aspects for Arabic Handwritten Characters Recognition

Spatial and Textural Aspects for Arabic Handwritten Characters Recognition

... a character, a writer does not put the same pressure at the beginning as the ...other character like (ن, ر, د, ا) because they contain more details which result in changing the texture of their ...

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Recognition of Arabic handwritten words

Recognition of Arabic handwritten words

... a recognition rate of 93% were as letters had a recognition rate of ...While recognition rates are comparable to other classifier performance in the case of a single classifier case, classifier ...

37

OFF-LINE ARABIC HANDWRITTEN ISOLATED CHARACTER RECOGNITION

OFF-LINE ARABIC HANDWRITTEN ISOLATED CHARACTER RECOGNITION

... This paper presents an effective system for off-line Arabic handwritten character recognition. This system focuses on employing hybrid features, where the structure features are combined with ...

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Arabic Handwritten Alphanumeric Character Recognition using Fuzzy Attributed Turning Functions

Arabic Handwritten Alphanumeric Character Recognition using Fuzzy Attributed Turning Functions

... difference in direction angles. However, Figure 8 (b) and (c) clearly show that directions 1a and 1b-2b refer to the same segment of the character contour and should be treated as „close‟. Directions 1b and 2b ...

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Offline printed Arabic character recognition

Offline printed Arabic character recognition

... and handwritten information into computer readable ...Optical Character Recognition (OCR) ...and handwritten characters more quickly and accurately (Cheriet, Kharma et ...as Arabic and ...

244

Recognition image obtained by camera phone of character Arabic

Recognition image obtained by camera phone of character Arabic

... of handwritten Arabic characters acquired by camera phone, we have constructed our own database of upper-case Arabic character (“alif” to “alyae”) images obtained by camera ...of ...

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Segmentation Accuracy for Offline Arabic Handwritten Recognition Based on Bounding Box Algorithm

Segmentation Accuracy for Offline Arabic Handwritten Recognition Based on Bounding Box Algorithm

... the Arabic words ...the Arabic word to the primitives, then, the extraction of the structural features of the characters using the modified direction features ...the character of the ANN training and ...

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Handwritten Character Recognition Based on the Specificity and the Singularity of the Arabic Language

Handwritten Character Recognition Based on the Specificity and the Singularity of the Arabic Language

... In [17] a two-stage SVM based scheme is proposed for recognition of Farsi isolated characters. After binarizing the image, the undersampled bitmaps and chain-code directional frequencies of the contour pixels are ...

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Invariant and Zernike Based Offline Handwritten Character Recognition

Invariant and Zernike Based Offline Handwritten Character Recognition

... written recognition for normal ...handwriting recognition research [2-5] developing a reliable general purpose system for invariant character recognition remains an open ...Tamil ...

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Recognition of On-line Handwritten Arabic Digits Using Structural Features and Transition Network

Recognition of On-line Handwritten Arabic Digits Using Structural Features and Transition Network

... The recognition process starts when getting a sequence of points from the user and then by using these points to extract the structural ...62 character classes (digits, uppercase and lowercase ...the ...

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Comparison of Neural Network Parameters for Classification of Arabic Handwritten Isolated Characters

Comparison of Neural Network Parameters for Classification of Arabic Handwritten Isolated Characters

... the recognition of isolated Arabic handwritten ...30,600 character images, divided into 23,800 images for training and 6800 images for ...78.77% recognition rate for testing data using ...

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Handwritten Marathi Character Recognition on an Android Device

Handwritten Marathi Character Recognition on an Android Device

... handwriting recognition system on Android platform that is acceptably fast, having a easy user-friendly interface, able to pre-process the given input to suppress the background, detect text regions present in the ...

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Handwritten Text Extraction from Documents.

Handwritten Text Extraction from Documents.

... G. Louloudis et al. (2008) presented a text line detection method for handwritten documents. The proposed technique is based on a approach that consists of three distinct steps. The first step includes image ...

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A Survey on Handwritten Character Recognition of Indian Scripts

A Survey on Handwritten Character Recognition of Indian Scripts

... of handwritten Hindi characters by initializing the mouse in graphics ...each character. Some of the common operations performed prior to recognition skeletonization and ...Each character is ...

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Handwritten Character Recognition using BrainNet Library

Handwritten Character Recognition using BrainNet Library

... a character matrix of binary values of image, Region and pixel frequency based feature extraction ...binary character image, an efficient classifier is used to classify the class of a ...for ...

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