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Text Recognition Model Based on Multi-Scale Fusion CRNN [PDF]
Sensors, 2023 Scene text recognition is a crucial area of research in computer vision. However, current mainstream scene text recognition models suffer from incomplete feature extraction due to the small downsampling scale used to extract features and obtain more ...
Le Zou +6 more
doaj +2 more sources
Advancements and Challenges in Handwritten Text Recognition: A Comprehensive Survey. [PDF]
J ImagingHandwritten Text Recognition (HTR) is essential for digitizing historical documents in different kinds of archives. In this study, we introduce a hybrid form archive written in French: the Belfort civil registers of births.
AlKendi W +3 more
europepmc +2 more sources
Automated Handwritten Text Recognition [PDF]
E3S Web of Conferences, 2023 A computer’s capacity to recognize and convert handwritten inputs from sources like photographs and paper documents into digital format is known as Automated Handwritten Text Recognition (AHTR).
Ram Kumar R.P. +4 more
doaj +2 more sources
International Journal of Advanced Research in Science, Communication and TechnologyHandwritten text detection refers to the capacity of a computer system to interpret and understand handwritten input from various sources such as paper documents, touch displays, and photographs. Within the realm of pattern recognition, one specific area is handwritten text recognition, which involves categorizing and interpreting handwritten text.
null Tanishq Rampure +4 more
semanticscholar +5 more sources
Rectification and Super-Resolution Enhancements for Forensic Text Recognition [PDF]
Sensors, 2020 Retrieving text embedded within images is a challenging task in real-world settings. Multiple problems such as low-resolution and the orientation of the text can hinder the extraction of information.
Pablo Blanco-Medina +5 more
doaj +2 more sources
Scene Text Recognition Based on Bidirectional LSTM and Deep Neural Network. [PDF]
Comput Intell Neurosci, 2021 Deep learning is a subfield of artificial intelligence that allows the computer to adopt and learn some new rules. Deep learning algorithms can identify images, objects, observations, texts, and other structures.
Kantipudi MP, Kumar S, Kumar Jha A.
europepmc +2 more sources
Text Recognition, Text Scanner, Handwriting Text Recognition OCR
International Research Journal on Advanced Engineering and Management (IRJAEM)This project focuses on the development of a native iOS application for Optical Character Recognition (OCR) using Apple’s Vision Framework. The app is designed to detect, extract, and digitize both printed and handwritten text from various image sources, providing users with a fast, accurate, and convenient tool for tasks such as document scanning ...
null Shodha H M, null Pintu Kumar
openaire +2 more sources
Instruction-Guided Scene Text Recognition
IEEE Transactions on Pattern Analysis and Machine IntelligenceAccepted by ...
Yongkun Du +4 more
openaire +4 more sources
Deep learning-enabled hybrid systems for accurate recognition of text in seal images [PDF]
Frontiers in Big DataChinese seals are widely used in various fields within Chinese society as a tool for certifying legal documents. However, recognizing text on these seals presents challenges due to background text, high noise levels, and minimalistic image features. This
Keke Zhang +8 more
doaj +2 more sources
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition [PDF]
Computer Vision and Pattern Recognition, 2021 Linguistic knowledge is of great benefit to scene text recognition. However, how to effectively model linguistic rules in end-to-end deep networks remains a research challenge.
Shancheng Fang +4 more
semanticscholar +1 more source