Results 121 to 130 of about 6,953 (298)

ANN-based Innovative Segmentation Method for Handwritten text in Assamese

open access: yes, 2009
Artificial Neural Network (ANN) s has widely been used for recognition of optically scanned character, which partially emulates human thinking in the domain of the Artificial Intelligence.
Sarma, Kandarpa Kumar   +1 more
core  

Segmented Handwritten Text Recognition with Recurrent Neural Network Classifiers

open access: yes, 2015
—Recognition of handwritten text is a useful tech-nique that can be applied in different applications, such as signature recognition, bank check recognition, etc. However, the off-line handwritten text recognition in an unconstrained situation is still a
Bolan Su   +3 more
core   +1 more source

Ancient Yi Script Handwriting Sample Repository

open access: yesScientific Data
The ancient Yi script has been used for over 8000 years, which can be ranked with Oracle,Sumerian,Egyptian,Mayan and Harappan,and is one of the six ancient scripts in the world.
Xiaojuan Liu   +4 more
doaj   +1 more source

Regulatory Intermediation in Times of Crisis: The Impact of Independent Oversight on the Functioning of Professional Accounting Bodies Intermédiation réglementaire en temps de crise : incidence de la surveillance indépendante sur le fonctionnement des organismes comptables professionnels

open access: yesContemporary Accounting Research, EarlyView.
ABSTRACT The rise of independent oversight of the accounting profession has attracted considerable research attention. Much of this research has studied how professional accounting bodies and the Big 4 firms have shaped the mandate and capabilities of independent oversight bodies.
Brendan O'Dwyer   +2 more
wiley   +1 more source

HMM-Based Handwritten Amharic Word Recognition with Feature Concatenation

open access: yes, 2009
Amharic is the official language of Ethiopia and uses Ethiopic script for writing. In this paper, we present writer-independent HMM-based Amharic word recognition for offline handwritten text.
Yaregal Assabie   +3 more
core   +1 more source

Enhanced Offline Writer Recognition System Employing Blended Multi-Input CNN and Bi-LSTM Model on Diverse Handwritten Texts [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences
Since author’s writing styles are often ambiguous, writer recognition is an appealing research problem for handwritten manuscript investigation. Pattern identification allows for recognizing the author of a handwritten work.
Naresh Purohit , Subhash Panwar
doaj   +1 more source

Commercial treaties and political transformation in Sulu and Southeast Asian littorals, c. 1830–1840

open access: yesAsia‐Pacific Economic History Review, EarlyView.
Abstract This article re‐examines an economic treaty concluded between Spain and the Sulu Sultanate in 1836. Analysing the Tausug (Jawi) and Spanish treaty versions alongside archival sources from Spain, the Philippines, and England, it traces the impact of indigenous agency beyond the formal signatories on economic and political transformations ...
Eleonora Poggio   +2 more
wiley   +1 more source

Word shape analysis for a hybrid recognition system

open access: yes, 1997
This paper describes two wholistic recognizers developed for use in a hybrid recognition system. The recognizers use information about the word shape. This information is strongly related to word zoning.
Whitrow, RJ, Powalka, RK, Sherkat, N
core  

Writing speed normalization for on-line handwritten text recognition

open access: yes, 2005
[EN] Pen-based interfaces aim at improving the man-machine interaction of many portable systems. While statistical models can be used to learn pen position sequences, they suffer from the huge variability exhibited by the speed of writing.
Toselli, Alejandro Héctor   +5 more
core   +1 more source

Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2016
In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text lines from binary images of Arabic
Youssef Boulid   +2 more
doaj   +1 more source

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