Results 81 to 90 of about 815,840 (218)
Handwritten Devanagari Script Recognition: A Survey
In India, many people use Devanagari script for documentation. There has been a significant improvement in the research related to the recognition of printed as well as handwritten Devanagari text in the past few years. Basically Character recognition techniques associate a symbolic identity with the image of a character.
Aradhana A Malanker, Prof. Mitul M Patel
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Class Angular Distortion Index for Dimensionality Reduction
Abstract Dimensionality reduction (DR) techniques are often characterized by whether they preserve global, high‐level structures in the data or local, neighborhood structures. This distinction matters in visualization: global methods can obscure clusters while local methods can over‐emphasize them.
Kaviru Gunaratne +2 more
wiley +1 more source
Segmentation of Offline Handwritten Bengali Script
Proceedings of 28th IEEE ACE, pp.
Subhadip Basu +4 more
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Input Visualizations to Track Health Data by Older Adults with Multiple Chronic Conditions
Abstract Older adults living with multiple chronic conditions (MCC) can considerably benefit from collecting and reflecting on their health data. Many older adults collect their health data using various approaches, such as digital tools or handwritten notebooks.
Shri Harini Ramesh +4 more
wiley +1 more source
Offline Handwritten Devanagari Script Recognition [PDF]
Handwritten Devanagari script recognition system using neural network is presented in this paper. Diagonal based feature extraction is used for extracting features of the handwritten Devanagari script. After that these feature of each character image is converted into chromosome bit string of length 378.
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There Is a Story Behind This Object: The University Museum as a Stage
ABSTRACT Objects are a critical part of most museum exhibitions and their purpose within a university museum setting is linked to the stories they carry and how these are in turn communicated to museum visitors. This paper explores these stories through the practice of museum theater, which uses performance to bring historical stories within the museum
Stephanie Jenkins
wiley +1 more source
Multi-Attention Based Convolutional Neural Network for Tamil Handwritten Character Recognition
The robustness of a handwritten character recognition system hinges on its ability to generalize across diverse handwriting styles, especially in regional scripts like Tamil, which are known for their complex curves and structural intricacies.
Srinithi Jayachandran +2 more
doaj +1 more source
Writer Identification on Multi-Script Handwritten Using Optimum Features
Recognizing the writer of a text that has been handwritten is a very intriguing research problem in the field of document analysis and recognition. This study tables an automatic way of recognizing the writer from handwritten samples.
Ahmed Abdullah Ahmed +3 more
doaj +1 more source
An AI‐assisted workflow for generating historical species distributions from avian museum specimens
The Earth's biodiversity is changing rapidly due to human activities. Natural history collections could help us better understand how and why biodiversity is changing but are grossly under‐used in this respect. Artificial intelligence (AI) has the potential to transform this situation by enabling us to unlock data associated with museum specimens more ...
Peter Learned +6 more
wiley +1 more source
A systematic study of offline recognition of Thai printed and handwritten characters
Thai characters pose some unique problems, which differ from English and other oriental scripts. The structure of Thai characters consists of small loops combined with curves and there is an absence of spaces between each word and sentence. In each line,
Sae-Tang, Sutat
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