• No results found

handwritten arabic

A Dataset of Handwritten Arabic Letters for Machine Learning Applications

A Dataset of Handwritten Arabic Letters for Machine Learning Applications

... historical Arabic manuscripts. Images of handwritten text are transformed into text that needs to be understandable to computers, or in other words into (ASCII) ...[1]. Arabic text recognition of ...

9

Component-based Segmentation of words from handwritten Arabic text

Component-based Segmentation of words from handwritten Arabic text

... for Arabic script recognition has started more than two decades ...for Arabic handwritten words which were segmented into ...printed Arabic text into characters. Recognition of hand printed ...

5

High-Quality Wavelets Features Extraction for Handwritten Arabic Numerals Recognition

High-Quality Wavelets Features Extraction for Handwritten Arabic Numerals Recognition

... Abstract— Arabic handwritten digit recognition is the science of recognition and classification of handwritten Arabic ...subject. Handwritten digits written by different people are not ...

11

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

... cursive handwritten Arabic numerals recognition was introduced by using in the preprocessing phase the median filter, the thresholding, the centering and the normalization techniques, in the features ...

6

Ensemble Neural Network in Classifying Handwritten Arabic Numerals

Ensemble Neural Network in Classifying Handwritten Arabic Numerals

... paper, handwritten Arabic numerals are recognized by partition, compression, cluster and ensemble neural network ...recognize handwritten Arabic numerals is proposed in Section ...

8

Offline handwritten Arabic writer identification using negative selection algorithm

Offline handwritten Arabic writer identification using negative selection algorithm

... on Arabic handwriting have not been done by using the ...the Arabic handwriting will be evaluated and tested using the IFN/ENIT Arabic ...in Handwritten Arabic writer identification ...

21

On line Handwritten Arabic Character Recognition using Artificial Neural Network

On line Handwritten Arabic Character Recognition using Artificial Neural Network

... line Arabic handwritten characters is ...28 Arabic characters five times in order to get different writing ...recognizing handwritten Arabic ...

5

Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition

Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition

... recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were ...for handwritten Arabic words is proposed, based on a sliding window ...

29

Tuning Recurrent Neural Networks for Recognizing  Handwritten Arabic Words

Tuning Recurrent Neural Networks for Recognizing Handwritten Arabic Words

... Artificial neural networks have the abilities to learn by example and are capable of solving problems that are hard to solve using ordinary rule-based programming. They have many design parameters that affect their ...

10

Recognition of handwritten Arabic characters

Recognition of handwritten Arabic characters

... data points are equally important to the pattern recognition task. Using neural networks. for the task of classification, this would result in further reduction of the data input space[r] ...

88

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

... In this paper, an efficient structural approach for recognizing on-line handwritten digits is proposed. After reading the digit from the user, the coordinates (x, y) of the pixels representing the drawn digit are ...

7

Offline handwritten Arabic cursive text recognition using hidden markov models and re-ranking

Offline handwritten Arabic cursive text recognition using hidden markov models and re-ranking

... From segmented words, a group of intensity features are extracted using 80 a sliding window applied on mirrored word image; 81 3 To apply the above features for word recognition using a [r] ...

21

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

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

... of Arabic writing in relation to Latin writing can be attributed to the morphological complexity of the Arabic ...of Arabic handwriting dates back to the ...of handwritten Arabic ...

8

Title: Review about Off-line Handwriting Arabic Text Recognition

Title: Review about Off-line Handwriting Arabic Text Recognition

... offline handwritten Arabic word by using hidden Markov models (HMM), the steps are pre- processing, segmentation stage divided the text into lines and lines into words, followed by the most important stage ...

11

An Arabic Baseline Estimation Method Based on Feature Points Extraction

An Arabic Baseline Estimation Method Based on Feature Points Extraction

... printed Arabic text can be estimated reliably using horizontal projection histogram [7] by finding the row that contains the maximum number of foreground pixels as shown in Figure 2 ...in handwritten ...

5

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 note in this section is that the researchers have proposed several algorithms for segmentation of words. Research workers typically use the easy algorithm to using horizontal and vertical projections of the word ...

11

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 ...online Arabic character recognition. An Arabic character ...

8

Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform

Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform

... is handwritten. When dealing with non-Latin document such as Arabic, the challenge becomes greater since in addition to the variability of writing, the presence of diacritical points and the high number of ...

7

OFF-LINE ARABIC HANDWRITTEN ISOLATED CHARACTER RECOGNITION

OFF-LINE ARABIC HANDWRITTEN ISOLATED CHARACTER RECOGNITION

... in Arabic language which gives the importance of working in Arabic language to all ...with Arabic language serves working with other similar writing languages such as Farsi, Jawi, and ...fact, ...

7

A Multi Agent Approach to Arabic Handwritten Text Segmentation

A Multi Agent Approach to Arabic Handwritten Text Segmentation

... A new segmentation method is proposed by Bhowmik and Roy to segment Bangla words [16]. They traced the lower contour of each connected component in hand- written word-image anticlockwise. During this process, relevant ...

9

Show all 2192 documents...

Related subjects