Online continuous multi-stroke Persian/Arabic character recognition by novel spatio-temporal features for digitizer pen devices

• Published in: Neural computing & applications Vol. 32; no. 8; pp. 3853 - 3872
• Main Authors: Valikhani, Sara, Abdali-Mohammadi, Fardin, Fathi, Abdolhossein
• Format: Journal Article
• Language: English
• Published: London Springer London 01.04.2020; Springer Nature B.V
• Subjects: Arabic language; Artificial Intelligence; Character recognition; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Decision trees; Digitization; Digits; Genetic algorithms; Image Processing and Computer Vision; Keyboards; Original Article; Probability and Statistics in Computer Science; Non-deterministic finite automata (NDFA); Continuous character recognition; Digitizer pen; Genetic programming-based decision tree (GPDT)

Nowadays, digitizer pens have become front end of many digital devices. The increasing use of this technology has necessitated the need for producing pen-based virtual keyboard systems. Despite attempts to create such systems in English, their absence for Persian/Arabic languages is an obvious defec...