Al-Khatatneh A.Sakinah Ali PitchayAl-Qudah M.2024-05-282024-05-2820179789880000000207809582-s2.0-85041209586https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041209586&partnerID=40&md5=ff1a1f0c39c0556c2918a04fff7ce46chttps://oarep.usim.edu.my/handle/123456789/8670Indexed by SCOPUSBaseline estimation is an important pre-processing step for many methods in optical character recognition system such as character segmentation, detection and correction of skew and feature extraction methods. In this paper, a new baseline estimation method for Arabic handwritten text is proposed based on analysis and extraction the feature points from the subword of the thinned text. A comprehensive set of experimental results using IFN/ENIT database which is specifically for Arabic optical character recognition handwritten demonstrate the efficiency of the proposed method in overcome the failure and weaknesses in the existing methods.en-USArabicBaseline estimationFeature pointsPreprocessingCharacter recognitionExtractionOptical character recognitionRadioactivity measurementArabicArabic optical character recognitionBaseline estimationFeature extraction methodsFeature pointsFeature points extractionOptical character recognition systemPreprocessingFeature extractiontext::journal::journal article4854892229