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| Abstract: | The work is intended to study the following important aspects of document image processing and develop new methods. (1) Segmentation ofdocument images using adaptive interval valued neuro-fuzzy method. (2) Improving the segmentation procedure using Simulated Annealing technique. (3) Development of optimized compression algorithms using Genetic Algorithm and parallel Genetic Algorithm (4) Feature extraction of document images (5) Development of IV fuzzy rules. This work also helps for feature extraction and foreground and background identification. The proposed work incorporates Evolutionary and hybrid methods for segmentation and compression of document images. A study of different neural networks used in image processing, the study of developments in the area of fuzzy logic etc is carried out in this work |
| Description: | Dept of Computer Applications Cochin University of Science and Technology |
| URI: | http://dyuthi.cusat.ac.in/purl/3679 |
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| Dyuthi-T1645.pdf | (3.838Mb) |
| Abstract: | This work proposes a parallel genetic algorithm for compressing scanned document images. A fitness function is designed with Hausdorff distance which determines the terminating condition. The algorithm helps to locate the text lines. A greater compression ratio has achieved with lesser distortion |
| Description: | 2010 International Conference on Electronics and Information Engineering (ICEIE 2010) vol 2,V2-483-V2-487 |
| URI: | http://dyuthi.cusat.ac.in/purl/4215 |
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| Parallel Geneti ... mpression Optimization.pdf | (793.8Kb) |
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