Results 231 to 240 of about 2,296,500 (293)

Artificial Intelligence in Religious Certification: A Comprehensive Review of Halal Digitalization, Compliance Integrity, and Future Directions. [PDF]

Int J Food Sci
Riaz MN, Irshad F, Haider MB.
europepmc   +1 more source

Aliasing Artifacts in Multielemental LA-ICP-TOFMS Mapping: An Old Problem Revisited. [PDF]

Anal Chem
Cernatič F, Mervič K, Schlatt L, Šala M.   +3 more
europepmc   +1 more source

Data rescue of historical tables through semi-supervised table structure recognition. [PDF]

Int J Doc Anal Recognit
Singh LG, Middleton SE.
europepmc   +1 more source

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Document Image Analysis

Springer Singapore, 2018
This chapter provides an overview of document image analysis (DIA). It aims to provide fundamental issues/techniques related to DIA, such textual processing and graphics processing. The chapter focusses on how research scientists, academicians and industrialists see the phrase DIA, and how have they approached since several years.
K. Santosh
semanticscholar   +3 more sources

Complex image processing with less data—Document image binarization by integrating multiple pre-trained U-Net modules

Pattern Recognition, 2021
Artificial neural networks have been shown significant performance in various image-to-image conversion tasks. However, complex conversions often require a large number of images for model training.
Seiichi Uchida, Seokjun Kang, Brian Kenji Iwana   +2 more
exaly   +2 more sources

Hyperspectral document image processing: Applications, challenges and future prospects

Pattern Recognition, 2019
Automatic image analysis is a crucial component of many intelligent systems designed for high-level understanding of documents. Most document image understanding systems are usually based on applying pattern recognition techniques to conventional three ...
Muhammad Uzair, Rizwan Qureshi, Khurram Khurshid   +2 more
exaly   +2 more sources

Document image binarization with cascaded generators of conditional generative adversarial networks

Pattern Recognition, 2019
Binarization is often the first step in many document analysis tasks and plays a key role in the subsequent steps. In this paper, we formulate binarization as an image-to-image generation task and introduce the conditional generative adversarial networks
Baihua Xiao, Yanna Wang
exaly   +2 more sources