Granularity Levels in Parallel Block-Matching Motion Compensation
Proceedings of the 9th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Locating Characters in Scene Images Using Frequency Features
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Hybrid approach to efficient text extraction in complex color images
Pattern Recognition Letters
Text segmentation based on stroke filter
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Color text extraction with selective metric-based clustering
Computer Vision and Image Understanding
Parallelization and Performance Analysis of Video Feature Extractions on Multi-Core Based Systems
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
Detecting and reading text in natural scenes
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Automatic detection and recognition of signs from natural scenes
IEEE Transactions on Image Processing
Text extraction from natural scene image: A survey
Neurocomputing
| Hi-index | 0.00 |
Text recognition in natural color images is not successful with the naïve application of general OCR (Optical character recognition) because the numerous visual environments and luminance in the real world scene. This problem can be solved by adopting various brightness/contrast adjustments and texture analysis to create a binary image very similar to printed text. But such a solution can have a shortcoming; increased execution time. We propose an English text detection method that parallelizes processing jobs to utilize a multi-core processor effectively in order to improve text recognition accuracy and minimize execution time overhead.