International Journal of System & Software Engineering

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A Loci Features Based Method to Convert Images of Differential Calculus Expressions to Their Text Equivalent


Affiliations
1 SDM College of Engineering & Technology, Dharwad, Karnataka, India
2 K. L. E. Institute of Technology, Hubballi, Karnataka, India
3 JSS Academy of Technical Education, Bengaluru, Karnataka, India
     

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Many E-documents in scientific and engineering disciplines contain mathematical expressions. Differential equations are commonly solved in pre-university and engineering studies along with many applications existing in the real world. Human beings perceive mathematical expressions as images and evaluate, which is one of the traits of human beings. The solutions range from simple to complex mathematical expressions. Automation of this trait of human beings is the dire need in the field of engineering education in the light of self directed study, a popular project of Govt. of India called SWAYAM. Proposed paper is an attempt to automate recognition of mathematical expressions from an image and consists of phases such as pre-processing, image segmentation, Loci feature extraction and text conversion. The text version is subjected to further evaluation. The proposed method gives an average accuracy of 96% conversion.

Keywords

Connected Component, Loci Features, Mathematical Expression, Segmentation, Symbol Recognition, Text Conversion.
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Abstract Views: 355

PDF Views: 6




  • A Loci Features Based Method to Convert Images of Differential Calculus Expressions to Their Text Equivalent

Abstract Views: 355  |  PDF Views: 6

Authors

H. N. Sharada
SDM College of Engineering & Technology, Dharwad, Karnataka, India
Basavaraj S. Anami
K. L. E. Institute of Technology, Hubballi, Karnataka, India
K. B. Nagasundara
JSS Academy of Technical Education, Bengaluru, Karnataka, India

Abstract


Many E-documents in scientific and engineering disciplines contain mathematical expressions. Differential equations are commonly solved in pre-university and engineering studies along with many applications existing in the real world. Human beings perceive mathematical expressions as images and evaluate, which is one of the traits of human beings. The solutions range from simple to complex mathematical expressions. Automation of this trait of human beings is the dire need in the field of engineering education in the light of self directed study, a popular project of Govt. of India called SWAYAM. Proposed paper is an attempt to automate recognition of mathematical expressions from an image and consists of phases such as pre-processing, image segmentation, Loci feature extraction and text conversion. The text version is subjected to further evaluation. The proposed method gives an average accuracy of 96% conversion.

Keywords


Connected Component, Loci Features, Mathematical Expression, Segmentation, Symbol Recognition, Text Conversion.

References