2014/04/01 by Qurat ul Ain Akram, Sarmad Hussain, Aneta Niazi +2 · 1 citation
Computer Science · Engineering · #Handwritten Text Recognition Techniques #Advanced Image and Video Retrieval Techniques #Vehicle License Plate Recognition #Cursive #Computer science #Urdu #Artificial intelligence #Scripting language #Arabic #Natural language processing #Speech recognition #Linguistics #Programming language
paper · doi:10.1109/das.2014.45
openalex publication_date 2014/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
Tesseract engine supports multilingual text recognition. However, the recognition of cursive scripts using Tesseract is a challenging task. In this paper, Tesseract engine is analyzed and modified for the recognition of Nastalique writing style for Urdu language which is a very complex and cursive writing style of Arabic script. Original Tesseract system has 65.59% and 65.84% accuracies for 14 and 16 font sizes respectively, whereas the modified system, with reduced search space, gives 97.87% and 97.71% accuracies respectively. The efficiency is also improved from an average of 170 milliseconds (ms) to an average of 84 ms for the recognition of Nastalique document images.