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    Recognition of Handwritten Words from Digital Writing Pad Using MMU-SNet

    V. Jayanthi*, S. Thenmalar

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3551-3564, 2023, DOI:10.32604/iasc.2023.036599

    Abstract In this paper, Modified Multi-scale Segmentation Network (MMU-SNet) method is proposed for Tamil text recognition. Handwritten texts from digital writing pad notes are used for text recognition. Handwritten words recognition for texts written from digital writing pad through text file conversion are challenging due to stylus pressure, writing on glass frictionless surfaces, and being less skilled in short writing, alphabet size, style, carved symbols, and orientation angle variations. Stylus pressure on the pad changes the words in the Tamil language alphabet because the Tamil alphabets have a smaller number of lines, angles, curves, and bends.… More >

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