Results 31 to 40 of about 2,560 (230)
Devanagari script is one of the bases of various language scripts in India. With the growth of computing and technology, manual systems are replaced by automated one. The purpose of this research is to automate the existing manual system for digitization
Sandeep Dwarkanath Pande +7 more
doaj +1 more source
In this paper, a novel approach for word extraction and character segmentation from the handwritten Bangla document images is reported. At first, a modified Run Length Smoothing Algorithm (RLSA), called Spiral Run Length Smearing Algorithm (SRLSA), is ...
Sarkar Ram +5 more
doaj +1 more source
Handwritten Script Identification from Text Lines [PDF]
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 +3 more
openaire +2 more sources
Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features
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 +8 more
doaj +1 more source
Machine-Printed and Handwritten Ethiopic Script Recognition [PDF]
A written language is represented by using machine-printed or handwritten symbols called characters. For automatic recognition of written languages, handwritten script can be captured offline (by a scanner) and online (by electronic digital devices ...
Assabie, Yaregal,
core +2 more sources
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
Word-wise handwritten Persian and Roman script identification [PDF]
Most of the countries use bi-script documents. This is because every country uses its own national language and English as second/foreign language. Therefore, bi-lingual document with one language being the English and other being the national language ...
Pal, Umapada +5 more
core +1 more source
Reading Modi Lipi: A Deep Learning Journey in Character Recognition.
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 Geez Digit Recognition Using Deep Learning
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 +2 more
doaj +1 more source
Handwritten Amharic Word Recognition With Additive Attention Mechanism
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

