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Optical Character Recognition Technique using Intro Sort
- Source :
- International Journal of Computer Applications. 127:1-4
- Publication Year :
- 2015
- Publisher :
- Foundation of Computer Science, 2015.
-
Abstract
- In this study, we propose an optical character recognition technique using Intro Sort. Main feature of this proposed technique is that we segment images using intro sort. It reduces the comparison time for matching the pixels of an image. It reflects reduction in OCR time. Intro sort algorithm begins with quick sort and when recursion depth exceeds a level it switches to heap sort, based on the number of pixels being sorted. This approach also has advantage of recognizing number plates and text documents in very nominal time. Our approach is able to extract characters of different font sizes. Our technique is performed well in noisy images too. General Terms Optical character recognition
- Subjects :
- Recursion
Sorting algorithm
Theoretical computer science
Matching (graph theory)
Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Heapsort
Recursion (computer science)
Pattern recognition
Optical character recognition
computer.software_genre
Feature (machine learning)
sort
Artificial intelligence
business
computer
Subjects
Details
- ISSN :
- 09758887
- Volume :
- 127
- Database :
- OpenAIRE
- Journal :
- International Journal of Computer Applications
- Accession number :
- edsair.doi...........2d64d56452c3163b31aa620c0c90e960