Results 91 to 100 of about 41,108,015 (283)
The implications of handwritten text recognition for accessing the past at scale
J. DocumentationPurposeThis paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI).
Joe Nockels, P. Gooding, Melissa Terras
semanticscholar +1 more source
Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition [PDF]
IEEE International Conference on Document Analysis and Recognition, 2019 Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition.
Johannes Michael +3 more
semanticscholar +1 more source
Implementation of a Human-Computer Interface for Computer Assisted Translation and Handwritten Text Recognition [PDF]
, 2012 A human-computer interface is developed to provide services of computer assisted machine translation (CAT) and computer assisted transcription of handwritten text images (CATTI). The back-end machine translation (MT) and handwritten text recognition (HTR)
Ocampo Sepúlveda, Jorge Carlos
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Automatic Text Recognition Made Easy
, 2023 Textual sources, primarily handwritten, and found in archives or libraries, are critical for humanities research. These sources, whether scanned by researchers or digitized by cultural institutions, need to be accessible in full text to facilitate ...
Mareike König
core +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Advanced Intelligent Systems, EarlyView.Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
A Pix2Pix Architecture for Complete Offline Handwritten Text Normalization
SensorsIn the realm of offline handwritten text recognition, numerous normalization algorithms have been developed over the years to serve as preprocessing steps prior to applying automatic recognition models to handwritten text scanned images. These algorithms
Alvaro Barreiro-Garrido +3 more
doaj +1 more source
Self-training for Handwritten Text Line Recognition [PDF]
, 2010 Off-line handwriting recognition deals with the task of automatically recognizing handwritten text from images, for example from scanned sheets of paper. Due to the tremendous variations of writing styles encountered between different individuals, this is a very challenging task. Traditionally, a recognition system is trained by using a large corpus of
Volkmar Frinken, Horst Bunke
openaire +2 more sources
Segmentation of Thai handwritten text for automatic document retrieval [PDF]
, 2008 There is a huge amount of documents in Thai government organizations. Although automatic document image retrieval systems in English have been proposed and developed, there are no specific system which is capable to retrieve relevant information from ...
Fung, C.C., Chamchong, R.
core
Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Text line segmentation of ancient Thai manuscripts on palm leaves [PDF]
, 2012 Segmentation of handwritten scripts with overlapping text is one of the challenging tasks in the pre-processing for document recognition and optical character recognition (OCR) systems.
Fung, C.C., Chamchong, R.
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