Results 31 to 40 of about 1,400,025 (294)
This paper highlights a novel strategy for online Arabic text recognition using a hybrid Genetic Algorithm (GA) and Harmony Search algorithm (HS). The strategy is divided into two phases: text segmentation using dominant point detection, and recognition ...
Moayad Yousif Potrus +2 more
doaj +1 more source
Two-Step CNN Framework for Text Line Recognition in Camera-Captured Images
In this paper, we introduce an “on the device” text line recognition framework that is designed for mobile or embedded systems. We consider per-character segmentation as a language-independent problem and individual character recognition as
Yulia S. Chernyshova +2 more
doaj +1 more source
Industry 4.0 revolve the way of thinking in manufacturing factory business. Speed and accuracy become the main focus to survive and To growth. This study aims to build a blue print of an system that will increase both speed and accuracy in form input ...
Christian Wibisono, Setia Budi
doaj +1 more source
A Novel Method of Detecting Chinese Rendered Text on Tilted Screen of Mobile Devices
Due to the development of the Internet, screen rendered text detection and recognition have wide applications such as screen capture translation, medical text reading, screen text assisted reading and so on.
Tianlun Zheng, Xiaofeng Wang, Xin Xu
doaj +1 more source
ON-LINE HANDWRITTEN ARABIC CHARACTER RECOGNITION BASED ON GENETIC ALGORITHM
On-line Arabic handwritten character recognition is one of the most challenging problems in pattern recognition field. By now, printed Arabic character recognition and on-line Arabic handwritten recognition has been gradually practical, while offline ...
Haithem Abd Al-RaheemTaha
doaj +1 more source
A CNN-Based Optical Character Recognition System for Printed Marathi Documents [PDF]
The structural complexity of Devanagari makes optical character recognition (OCR) for printed Marathi documents challenging. Devanagari contains compound characters, vowel modifiers, and superficially identical symbols.
Kankhar Madhav A., Mahender C. Namrata
doaj +1 more source
Multiscale fully convolutional network‐based approach for multilingual character segmentation
Character segmentation is a challenging task for optical character recognition systems. Traditional methods usually utilize rule‐based algorithms but most of them are not applicable in modern intelligent recognition applications that require high ...
Chao Yu, Jin Liu, Yunhui Li
doaj +1 more source
Efficient Optical Character Recognition System for Automatic Soccer Player's Identification [PDF]
In this paper, we present a new system of automatic character recognition in order to quickly and reliably identify soccer on the basis of their team number for sport’s scene understanding. First, the proposed approach extracts the number on the player’s
Olszewska, Joanna Isabelle +1 more
core +3 more sources
Chinese/English mixed Character Segmentation as Semantic Segmentation
OCR character segmentation for multilingual printed documents is difficult due to the diversity of different linguistic characters. Previous approaches mainly focus on monolingual texts and are not suitable for multilingual-lingual cases. In this work, we particularly tackle the Chinese/English mixed case by reframing it as a semantic segmentation ...
Huabin Zheng +4 more
openaire +3 more sources
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source

