학술논문

Offline-printed Sindhi Optical Text Recognition: Survey
Document Type
Conference
Source
2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences (ICETAS) Engineering Technologies and Applied Sciences (ICETAS), 2018 IEEE 5th International Conference on. :1-5 Nov, 2018
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Optical character recognition software
Text recognition
Feature extraction
Character recognition
Optical imaging
Writing
Sindhi script
Optical Text recognition
Segmentation
OCR
Language
Abstract
Optical Character Recognition (OCR) applications are becoming more intensive than before and show great prospective for rapid data entry, but has limited success when applied to the Sindhi language. This paper summarize the general topic of optical character recognition and highlights the characteristics of Sindhi script. It also presents an historical review of the Sindhi text recognition systems. More this paper underline the capabilities of different OCR systems, and then introduce a five stage model for off-line printed Sindhi text recognition systems and classify research work according to this model.