Work

An Adopted CNN-based Approach for Classification and Restoration of Challenging Handwritten Text

Year: 2026

Type: article

Source: International Journal of Pattern Recognition and Artificial Intelligence

DOI: 10.1142/s0218001426570077

Authors: P. Prajwal Kumar, M. Basavanna, Shivakumara Palaiahnakote, Daniel P. Lopresti, Mohamad Saraee

Institutions: Davangere University, University of Salford, Lehigh University

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7150935927

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Cites: 18

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