Results 31 to 40 of about 2,546 (227)

Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features

IEEE Access, 2021
Pashto scripts are cursive in nature and hard to recognize in real-time. Native speakers of the Pashto language are large in numbers and reside in different regions of the world.
Muhammad Shabir, Naveed Islam, Zahoor Jan, Inayat Khan, Taj Rahman, Asim Zeb, Shafiq Ahmad, Abdelaty Edrees Abdelgawad, Mali Abdollahian   +8 more
doaj   +1 more source

Handwritten Script Identification from Text Lines [PDF]

, 2016
In a multilingual country like India where 12 different official scripts are in use, automatic identification of handwritten script facilitates many important applications such as automatic transcription of multilingual documents, searching for documents on the web/digital archives containing a particular script and for the selection of script specific
Pawan Kumar Singh 0001, Iman Chatterjee, Ram Sarkar, Mita Nasipuri   +3 more
openaire   +2 more sources

Component-based Segmentation of words from handwritten Arabic text

, 2008
Efficient preprocessing is very essential for automatic recognition of handwritten documents. In this paper, techniques on segmenting words in handwritten Arabic text are presented.
Jawad H AlKhateeb, Jinchang Ren, AlKhateeb, J. H., Jiang, J., Stan S Ipson, Ipson, S., Ren, Jinchang, Jianmin Jiang   +7 more
core   +1 more source

Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition

Applied Computational Intelligence and Soft Computing, 2012
In handwritten character recognition, benchmark database plays an important role in evaluating the performance of various algorithms and the results obtained by various researchers. In Devnagari script, there is lack of such official benchmark.
Vikas J. Dongre, Vijay H. Mankar
doaj   +1 more source

Handwritten Geez Digit Recognition Using Deep Learning

Applied Computational Intelligence and Soft Computing, 2022
Amharic language is the second most spoken language in the Semitic family after Arabic. In Ethiopia and neighboring countries more than 100 million people speak the Amharic language.
Mukerem Ali Nur, Mesfin Abebe, Rajesh Sharma Rajendran   +2 more
doaj   +1 more source

Reading Modi Lipi: A Deep Learning Journey in Character Recognition.

International Journal of Interactive Multimedia and Artificial Intelligence
Advancements in deep learning methodologies have played a significant role in the success of various character recognition processes. Character recognition refers to the technique of identifying either handwritten or printed characters from documents ...
Kanchan Varpe, Sachin Sakhare
doaj   +1 more source

Handwritten Amharic Word Recognition With Additive Attention Mechanism

IEEE Access
Amharic stands as the second most widely spoken Semitic language globally, trailing only Arabic. As a result, it is a highly resourceful language for hardcopy-document collection, and automatic recognition technology is required.
Ruchika Malhotra, Maru Tesfaye Addis
doaj   +1 more source

MODI-HChar: Historical MODI Script Handwritten Character Dataset

, 2023
MODI script was used to write Indian languages as Marathi, Hindi, and Gujarati etc. from 12th century. From 17th century to mid of 19th century MODI was used as administrative script in Maharashtra state (India).
Deshmukh, M (via Mendeley Data)
core   +1 more source

MDIW-13: a New Multi-Lingual and Multi-Script Database and Benchmark for Script Identification [PDF]

, 2023
Script identification plays a vital role in applications that involve handwriting and document analysis within a multi-script and multi-lingual environment. Moreover, it exhibits a profound connection with human cognition.
Ferrer, Miguel A., Miguel A. Ferrer, Morales Moreno, Aythami, Abhijit Das, Pal, Umapada, Díaz Cabrera, Moisés, Cristina Carmona-Duarte, Aythami Morales, Carmona-Duarte, Cristina, Das, Abhijit, Moises Diaz, Morales, Aythami, Ferrer Ballester, Miguel Ángel, Diaz, Moises, Carmona Duarte, María Cristina, Umapada Pal   +15 more
core   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source