PENERAPAN MODEL HYBRID CNN-BILSTM UNTUK KONVERSI TULISAN TANGAN KE DOKUMEN DIGITAL
Digital transformation through Handwritten Text Recognition (HTR) technology based on deep learning can optimize the efficiency of processing public administration documents. In regional government agencies, processing handwritten files manually causes severe bottlenecks and human error. This study aims to analyze the...