ARTÍCULO
TITULO

Optical Character Recognition for Cursive Handwriting

Arica    
N. Yarman-Vural    
F. T.    

Resumen

No disponible

 Artículos similares

       
 
Haotong Suo, Jinge Guan, Miao Ma, Yongsheng Huo, Yaoyu Cheng, Naying Wei and Liying Zhang    
For traditional dark channel prior (DCP) imaging through haze environments, intensity information acts as the carrier to acquire the reflective character of the dehazed target image. We introduce polarization as auxiliary information into the traditional... ver más
Revista: Applied Sciences

 
Norbert Fischer, Alexander Hartelt and Frank Puppe    
Digitization and transcription of historic documents offer new research opportunities for humanists and are the topics of many edition projects. However, manual work is still required for the main phases of layout recognition and the subsequent optical c... ver más
Revista: Algorithms

 
Shenghan Wei, Xiang Li, Yong Yao and Suixian Yang    
As a practical application of Optical Character Recognition (OCR) for the digital situation, the digital instrument recognition is significant to achieve automatic information management in real-industrial scenarios. However, different from the normal di... ver más
Revista: Algorithms

 
Fatima Azzam, Mariam Jaber, Amany Saies, Tareq Kirresh, Ruba Awadallah, Abdallah Karakra, Hafez Barghouthi and Saleh Amarneh    
The field of electronic government (e-government) is gaining prominence in contemporary society, as it has a significant influence on the wider populace within the context of a technologically advanced world. E-government makes use of information and com... ver más
Revista: Applied Sciences

 
George Sisias, Myrto Konstantinidou and Sotirios Kontogiannis    
Automated deep learning and data mining algorithms can provide accurate detection, frequency patterns, and predictions of dangerous goods passing through motorways and tunnels. This paper presents a post-processing image detection application and a three... ver más
Revista: Algorithms