An enhanced quadratic angular feature extraction model for Arabic handwritten literal amount recognition

• Main Authors: Saleh Al-Nuzaili, Qais Ali, Fergani Ali, Ali Hamdi, Mohd. Hashim, Siti Zaiton, Saeed, Faisal Abdulkarem Qasem, Khalil, Mohammed Sayim
• Format: Conference or Workshop Item
• Published: 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/83152/; http://dx.doi.org/10.1007/978-3-319-59427-9_40

Arabic script has a number of characteristics that makes it unique among other scripts. Several feature extraction methods use statistical pixel distribution-based approach to recognize handwritten digits and words. These methods produce features that provide low complexity and high speed in terms o...