Results 31 to 40 of about 488,004 (308)
A Plant Disease Recognition Method Based on Fusion of Images and Graph Structure Text
Frontiers in Plant Science, 2022 The disease image recognition models based on deep learning have achieved relative success under limited and restricted conditions, but such models are generally subjected to the shortcoming of weak robustness. The model accuracy would decrease obviously
Chunshan Wang +16 more
doaj +1 more source
Label embedding for text recognition [PDF]
Procedings of the British Machine Vision Conference 2013, 2013 A system and method for comparing a text image and a character string are provided. The method includes embedding a character string into a vectorial space by extracting a set of features from the character string and generating a character string representation based on the extracted features, such as a spatial pyramid bag of characters (SPBOC ...
José A. Rodríguez-Serrano +1 more
openaire +1 more source
Currency Recognition Using EAST for Text Detection and Tesseract OCR for Text Recognition
2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI), 2023 This research study presents a novel approach for detecting currency utilizing cutting-edge technologies such as the Efficient and Accurate Scene Text (EAST) model and Tesseract Optical Character Recognition (OCR). The EAST model is employed to identify text within scenes, whereas Tesseract OCR is utilized to effectively recognize and classify monetary
Abass, Eman S. +5 more
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End-to-End Measure for Text Recognition [PDF]
2019 International Conference on Document Analysis and Recognition (ICDAR), 2019 Measuring the performance of text recognition and text line detection engines is an important step to objectively compare systems and their configuration. There exist well-established measures for both tasks separately. However, there is no sophisticated evaluation scheme to measure the quality of a combined text line detection and text recognition ...
Gundram Leifert +3 more
openaire +2 more sources
Speech recognition in university classrooms [PDF]
, 2002 The LIBERATED LEARNING PROJECT (LLP) is an applied research project studying two core questions: 1) Can speech recognition (SR) technology successfully digitize lectures to display spoken words as text in university classrooms?
Bain, Keith +5 more
core +1 more source
Text-detection and -recognition from natural images [PDF]
, 2020 Text detection and recognition from images could have numerous functional applications for document analysis, such as assistance for visually impaired people; recognition of vehicle license plates; evaluation of articles containing tables, street signs ...
Hanaa Mahmood (1249353)
core +1 more source
A Benchmark of Parsing Vietnamese Publications
IEEE Access, 2022 In recent decades, digital transformation has received growing attention worldwide, that has leveraged the explosion of digitized document data. In this paper, we address the problem of parsing publications, in particular, Vietnamese publications.
Khang Nguyen +5 more
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Component-based Segmentation of words from handwritten Arabic text [PDF]
, 2008 Efficient preprocessing is very essential for automatic recognition of handwritten documents. In this paper, techniques on segmenting words in handwritten Arabic text are presented.
Jawad H AlKhateeb +7 more
core +1 more source
ATR Step 1: Getting Started with Automatic Text Recognition [PDF]
by Ariane Pinche and Pauline Spychala https://youtu.be/Arxi4iHFQlM Diesen Artikel auf Deutsch lesen: https://harmoniseatr.hypotheses.org/1283Lire la version française de cet article : https://harmoniseatr.hypotheses.org/686 This article presents the ...
Ariane Pinche
core +2 more sources
Robust Sewer Defect Detection With Text Analysis Based on Deep Learning
IEEE Access, 2022 Sewerage systems play a vital role in building modern cities, providing appropriate ways to release liquid wastes. Due to the rapid expansion of cities, the deterioration of sewage pipes are increasing.
Chanmi Oh +3 more
doaj +1 more source