• Corpus ID: 17561802

Optical Character Recognition

@inproceedings{Chandarana2014OpticalCR,
  title={Optical Character Recognition},
  author={Jagruti Chandarana and Mayank R. Kapadia},
  year={2014}
}
Optical character recognition (OCR) is very popular research field since 1950's. Character recognition techniques associate a symbolic identity with the image of character. In a typical OCR systems input characters are digitized by an optical scanner. Each character is then located and segmented, and the resulting character image is fed into a pre-processor for noise reduction and normalization. Certain characteristics are the extracted from the character for classification. The feature… 
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References

SHOWING 1-10 OF 18 REFERENCES
Optical Character Recognition
TLDR
In the second method, features extracted from the segmented characters are used to train the SVM classifiers, which are later tested by a test set of handwritten digits.
Rapid Feature Extraction for Optical Character Recognition
TLDR
A rapid feature extraction method is proposed and named as Celled Projection (CP) that compute the projection of each section formed through partitioning an image that recognition accuracy is compared with other widely used feature extraction methods.
Multi Font And Size Optical Character Recognition Using Template Matching
TLDR
A review of existing works in handwritten and typewritten recognition of characters from image irrespective of their position, size, and various font styles based on the different approaches such as a Template Matching, Fuzzy Logic, Neural Network, etc.
A Survey of OCR Applications
TLDR
The paper presents a survey of applications of OCR in different fields and further presents the experimentation for three important applications such as Captcha, Institutional Repository and Optical Music Character Recognition.
Optical Character Recognition using MATLAB
TLDR
This paper attempts to develop an intelligent OCR system to store the documents in electronic form using Matlab.
Systems for Handwritten Gurmukhi Script – A Survey
TLDR
An overview of the various O.C.R. systems for gurmukhi which are developed for handwritten isolated gurMukhi text is presented.
Optical character recognition: an illustrated guide to the frontier
TLDR
A perspective on the performance of current OCR systems is offered by illustrating and explaining actual OCR errors made by three commercial devices, and possible approaches for improving the accuracy of today's systems are pointed to.
Character recognition - A review
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