Thesis on character recognition
In: Pal, U.
Handwritten character recognition thesis
Trier, O. Urdu, German and English. These techniques were later combined into a hybrid model that can recognize the optical characters in the Arabic language. The characters in low resolution text are usually joined to each other and they may appear differently at different locations on computer screen. Download full text files. Item Type:. OCR of low resolution text is quite important due to presence of low resolution text in screen-shots, web images and video captions. This research proposed three improved techniques of differentiation, alignment, and voting to overcome the identified drawbacks. Javadevan, R.
Then, this thesis presents novel applications of ANNs for automatic script recognition and orientation detection. The objective of this study is to determine the impact of overall word shape in visual word recognition process.
The results support the presented hypothesis and the findings are consistent with the dual route theories of reading. Haykin, S.
Handwritten character recognition project report
Abe, J. The features are processed by HMMs to provide segmentation free text line recognition. The characters in low resolution text are usually joined to each other and they may appear differently at different locations on computer screen. HMMs and ANNs are widely employed pattern recognition paradigms and have been used in numerous pattern classification problems. Document Analysis, Chennai, pp. On the other hand, alignment techniques in the literatures are based on approximation while the voting process is not context-aware. Furthermore, the thesis provides psychophysical experiments to determine the effect of letter permutation in visual word recognition of Latin and Cursive script languages.
The hypothesis is tested by conducting psychophysical experiments in visual recognition of words from orthographically different languages i. Da Silva Filho, J. Mario, M.
These techniques were later combined into a hybrid model that can recognize the optical characters in the Arabic language.
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