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A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition

Noor ul Sehr Zia, Muhammad Ferjad Naeem, Syed M. Raza, Muhammad Mubasher Khan, Adnan Ul-Hasan, Faisal Shafait

2021Neural Computing and Applications28 citationsDOI

Topics & Concepts

Computer scienceUrduHandwritingArtificial intelligenceHandwriting recognitionSpeech recognitionWord error rateLanguage modelNatural language processingArchitectureKey (lock)Convolutional neural networkFeature extractionLinguisticsPhilosophyVisual artsComputer securityArtHandwritten Text Recognition TechniquesHand Gesture Recognition SystemsNatural Language Processing Techniques
A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition | Litcius