Optical Character Recognition Systems for German Language

2016 ◽  
pp. 137-164
Author(s):  
Arindam Chaudhuri ◽  
Krupa Mandaviya ◽  
Pratixa Badelia ◽  
Soumya K. Ghosh
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
German Language ◽  
Optical Character ◽  
Recognition Systems

Performance Analysis of Open Source Optical Character Recognition

2020 ◽  
Vol 17 (9) ◽  
pp. 4267-4275
Author(s):  
Jagadish Kallimani ◽  
Chandrika Prasad ◽  
D. Keerthana ◽  
Manoj J. Shet ◽  
Prasada Hegde ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Comparative Study ◽  
Open Source ◽  
Error Rate ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Accurate Result ◽  
Recognition System ◽  
Optical Character ◽  
Recognition Systems

Optical character recognition is the process of conversion of images of text into machine-encoded text electronically or mechanically. The text on image can be handwritten, typed or printed. Some of the examples of image source can be a picture of a document, a scanned document or a text which is superimposed on an image. Most optical character recognition system does not give a 100% accurate result. This project aims at analyzing the error rate of a few open source optical character recognition systems (Boxoft OCR, ABBY, Tesseract, Free Online OCR etc.) on a set of diverse documents and makes a comparative study of the same. By this, we can study which OCR is the best suited for a document.

scholarly journals A Survey on Arabic Handwritten Script Recognition Systems

2021 ◽  
Vol 11 (2) ◽  
pp. 1-17
Author(s):  
Soumia Djaghbellou ◽  
Abderraouf Bouziane ◽  
Abdelouahab Attia ◽  
Zahid Akhtar
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Research Field ◽  
Research Directions ◽  
Optical Character ◽  
On Line ◽  
Recognition Systems ◽  
Active Research ◽  
Handwritten Arabic ◽  
Open Issues

The optical character recognition (OCR) system is still an active research field in pattern recognition. Such systems can identify, recognize and distinguish electronically between characters and texts, printed or handwritten. They can also do a transformation of such data type into machine-processable form to facilitate the interaction between user and machine in various applications. In this paper, we present the global structure of an OCR system, with its types (on-line and off-line), categories (printed and handwritten) and its main steps. We also focused on off-line handwritten Arabic character recognition and provided a list of the main datasets publicly available. This paper also presents a survey of the works that have been carried out over recent years. Finally, some open issues and potential research directions have been highlighted

OPTICAL CHARACTER RECOGNITION — A SURVEY

1991 ◽  
Vol 05 (01n02) ◽  
pp. 1-24 ◽  
Author(s):  
S. IMPEDOVO ◽  
L. OTTAVIANO ◽  
S. OCCHINEGRO
Keyword(s):  
Feature Extraction ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
State Of The Art ◽  
The State ◽  
Historical Background ◽  
Optical Scanner ◽  
Optical Character ◽  
Recognition Systems

In order to highlight the interesting problems and actual results on the state of the art in optical character recognition (OCR), this paper describes and compares preprocessing, feature extraction and postprocessing techniques for commercial reading machines. Problems related to handwritten and printed character recognition are pointed out, and the functions and operations of the major components of an OCR system are described. Historical background on the development of character recognition is briefly given and the working of an optical scanner is explained. The specifications of several recognition systems that are commercially available are reported and compared.

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