Dynamic Hierarchical Bayesian Network for Arabic Handwritten Word Recognition
This paper presents a new probabilistic graphical model used to model and recognize words representing the names of Tunisian cities. In fact, this work is based on a dynamic hierarchical Bayesian network. The aim is to find the best model of Arabic handwriting to reduce the complexity of the recognition process by permitting the partial recognition. Actually, we propose a segmentation of the word based on smoothing the vertical histogram projection using different width values to reduce the error of segmentation. Then, we extract the characteristics of each cell using the Zernike and HU moments, which are invariant to rotation, translation and scaling. Our approach is tested using the IFN / ENIT database, and the experiment results are very promising.
Code (0)
등록된 구현이 없습니다.
Tasks
SegmentationTranslationSimilar Papers 제목 키워드 기반
Arabic Handwritten Text Line Dataset
Segmentation of Arabic manuscripts into lines of text and words is an important step to make recognition systems more efficient and accurate. The problem of segmentation into text lines is solved since there are carefull…
PositionSegmentationArabic Handwritten Document OCR Solution with Binarization and Adaptive Scale Fusion Detection
The problem of converting images of text into plain text is a widely researched topic in both academia and industry. Arabic handwritten Text Recognation (AHTR) poses additional challenges due to diverse handwriting style…
BinarizationOptical Character Recognition (OCR)Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognition
Recognizing handwritten digits is one of the most active research areas in computer vision, as there are a variety of applications, such as automatic identification of digits in bank checks and vehicle numbers. In the la…
Bayesian OptimizationComputational EfficiencyDimensionality ReductionHandwritten Digit RecognitionPrinted Arabic Text Recognition using Linear and Nonlinear Regression
Arabic language is one of the most popular languages in the world. Hundreds of millions of people in many countries around the world speak Arabic as their native speaking. However, due to complexity of Arabic language, r…
regressionA multi-stream hmm approach to offline handwritten arabic word recognition
In This paper we presented new approach for cursive Arabic text recognition system. The objective is to propose methodology analytical offline recognition of handwritten Arabic for rapid implementation. The first part in…