Papers Printed Text Recognition
“Printed Text Recognition” 태그가 달린 논문 4편 · 필터 해제
MixTex: Unambiguous Recognition Should Not Rely Solely on Real Data
This paper introduces MixTex, an end-to-end LaTeX OCR model designed for low-bias multilingual recognition, along with its novel data collection method. In applying Transformer architectures to LaTeX text recognition, we…
Data AugmentationOptical Character Recognition (OCR)Printed Text RecognitionIDPL-PFOD2: A New Large-Scale Dataset for Printed Farsi Optical Character Recognition
Optical Character Recognition is a technique that converts document images into searchable and editable text, making it a valuable tool for processing scanned documents. While the Farsi language stands as a prominent and…
Optical Character RecognitionPrinted Text RecognitionUTRNet: High-Resolution Urdu Text Recognition In Printed Documents
In this paper, we propose a novel approach to address the challenges of printed Urdu text recognition using high-resolution, multi-scale semantic feature extraction. Our proposed UTRNet architecture, a hybrid CNN-RNN mod…
Line DetectionOptical Character Recognition (OCR)Printed Text RecognitionText DetectionA Compositional Textual Model for Recognition of Imperfect Word Images
Printed text recognition is an important problem for industrial OCR systems. Printed text is constructed in a standard procedural fashion in most settings. We develop a mathematical model for this process that can be app…
Optical Character Recognition (OCR)Printed Text Recognition