首页|New Findings from University of Sciences and Technology Houari Boumediene in the Area of Networks Described (Open Writer Identification From Handwritten Text Fragments Using Lite Convolutional Neural Network)
New Findings from University of Sciences and Technology Houari Boumediene in the Area of Networks Described (Open Writer Identification From Handwritten Text Fragments Using Lite Convolutional Neural Network)
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By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on Networks. According to news reporting originating in Algiers, Algeria, by NewsRxjournalists, research stated, “Usually, a writer identification system based on the convolutional neuralnetwork (CNN) is designed as a closed system, which is composed of many convolutional layers trainedoften on the entire document for achieving a high performance but requiring a high computation cost. Thispaper proposes an open writer identification system using a lite CNN composed of only four convolutionallayers for extracting features from text fragments.”
AlgiersAlgeriaConvolutional NetworkEmerging TechnologiesMachine LearningNetworksNeural NetworksUniversity of Sciences and Technology Houari Boumediene
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