Results 51 to 60 of about 41,791,707 (220)
Handwritten text recognition using deep learning techniques: A survey [PDF]
MATEC Web of ConferencesHTR (Handwritten Text Recognition) is the automated process of converting handwritten text into digital text, holding immense value in digitizing historical records and facilitating data entry.
Rakesh S. +3 more
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Results in Engineering, 2023 Handwritten documents are, as always, highly challenging for recognition tasks compared to printed documents. Rather than using isolated characters as elementary components for recognition, practical documents use words or character strings.
Mamatarani Das, Mrutyunjaya Panda
doaj +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
Lexicon and attention based handwritten text recognition system
Machine Graphics & Vision, 2022 The handwritten text recognition problem is widely studied by the researchers of computer vision community due to its scope of improvement and applicability to daily lives. It is a sub-domain of pattern recognition.
Lalita Kumari +3 more
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Archaeological Prospection, EarlyView.ABSTRACT The history of Nazi German extermination camps has, until recently, relied primarily on eyewitness testimony. Very few official documents detailing the facilities survived the war due to the special operation ‘Sonderaktion 1005’, dedicated to hiding their existence and extent.
Sebastian Różycki +4 more
wiley +1 more source
Diffusion-Enhanced NAT–BART Vision Language Transformer for Unified Urdu Word Recognition
IEEE AccessHandwritten Urdu text recognition remains a very challenging problem due to the cursive and complex nature of the Nastaliq script. Each writer has a unique style, and there is a severe lack of large, well-labeled datasets. These challenges make Urdu text
Wahid Hussain +6 more
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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
Transcription of the Bleek and Lloyd Collection using the Bossa Volunteer Thinking Framework [PDF]
, 2013 The digital Bleek and Lloyd Collection is a rare collection that contains artwork, notebooks and dictionaries of the earliest habitants of Southern Africa.
Munyaradzi, Mr Ngoni, Munyaradzi, Ngoni
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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