Results 61 to 70 of about 815,840 (218)

Information Retrieval Model for Online Handwritten Script Identification [PDF]

open access: yes, 2009
International audienceScript identification has always been a topic of much research interest in the field of document analysis. The accurate determination of the identity of the script is paramount to many post-processing steps such as document sorting,
Alex C. Kot   +5 more
core   +1 more source

Devanagari Character Recognition: A Comprehensive Literature Review

open access: yesIEEE Access
The Devanagari script originated from the ancient Brahmi script and is a widely used Indic script for writing different languages, like Sanskrit, Hindi, Marathi, Nepali, and Konkani.
Sandhya Arora   +5 more
doaj   +1 more source

Pediatric Dentist–Parent Interactions: Converting the Thinking of Practitioners Into Learning Outcomes for Predoctoral Students

open access: yesJournal of Dental Education, EarlyView.
ABSTRACT Background Effective interaction with parents is indispensable for dentists, yet little literature exists on skillsets or application. Purposes (1) Identify core practices of pediatric dentists when interacting with parents; (2) summarize core practices for use in a skillset for students using a Novice to Expert model; (3) convert core ...
David C. Johnsen   +4 more
wiley   +1 more source

Segmentation of Thai handwritten text for automatic document retrieval [PDF]

open access: yes, 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  

Offline Handwritten Gurmukhi Script Recognition [PDF]

open access: yes, 2015
PHD, SMCAOver the last few years, a good number of laboratories all over the world have been involved in research on handwriting recognition. Handwriting recognition is a complex problem owing to the issues of variations in writing styles and size of the
Kumar, Munish
core   +1 more source

OpenITI MAKHZAN: An Open Annotated Dataset of Arabic, Persian, Ottoman Turkish, and Urdu Print and Manuscript Data

open access: yesJournal of Open Humanities Data
The OpenITI MAKHZAN dataset is a large aggregation of Arabic-script ground truth and evaluation data drawn from a wide variety of Persian, Arabic, Ottoman Turkish, and Urdu scribal print and handwritten (manuscript) documents.
Jonathan Parkes Allen   +14 more
doaj   +1 more source

Memristors Based on Ferroelectric Cu‐Deficient Copper Indium Thiophosphate for Multilevel Storage and Neuromorphic Computing

open access: yesSmall, EarlyView.
Different from CIPS with threshold switching behaviors, Cu‐deficient CIPS* shows stable non‐volatile digital and analog RS. Owing to the formation of metallic IPS at the LRS, CIPS* memristors demonstrate high ON/OFF ratio and endurance stability, which can be utilized to implement multilevel storage.
Mengdie Li   +6 more
wiley   +1 more source

RAPID ANALYTICAL VERIFICATION OF HANDWRITTEN ALPHANUMERIC ADDRESS FIELDS [PDF]

open access: yes, 2004
Microsoft, Motorola, Siemens, Hitachi, IAPR, NICI, IUF This paper presents a combination of fuzzy system and dynamic analytical model to deal with imprecise data derived from feature extraction in handwritten address images which are compared against ...
Leedham, G., Leedham, G., Lee, C.K.
core   +1 more source

Deep Learning and Large Language Models for Offline Recognition of Latin Handwritten Kazakh Text

open access: yesComputers
This article investigates offline recognition of handwritten Kazakh text in the Latin script using a convolutional recurrent neural network. The relevance of the study is determined by the transition of the Kazakh language to the Latin alphabet and the ...
Assem Shormakova   +3 more
doaj   +1 more source

Feature Selection Using Harmony Search for Script Identification from Handwritten Document Images

open access: yesJournal of Intelligent Systems, 2018
The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the irrelevant, noisy, and non-contributing features, resulting in acceptable classification accuracy.
Singh Pawan Kumar   +3 more
doaj   +1 more source

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