Numeral Recognition Using Statistical Methods Comparison Study
نویسندگان
چکیده
منابع مشابه
Handwritten Devanagari Numeral Recognition using Structural and statistical features
Handwritten Devanagari Numeral Recognition using Structural and Statistical Features 1 Madhav Goyal, 2 Naresh Kumar Garg 1 Department of Computer Science & Engg, Guru Ram Dass Institute of Engg. & Technology, Bathinda, Punjab, India 2 Department of Computer Science & Engg, GZSPTU Campus, Bathinda, Punjab, India ____________________________________________________________________________________...
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nn ee tt ww oo rr kk s ee ss ss ,, pp ll ee aa ss ee .
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Handwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies. The constant development of computer tools lead to the requirement of easier interface between the man and the computer. Handwritten character recognition may for instance be applied to Zip-Code recognition, automatic printed form acquisit...
متن کاملDevnagari Handwritten Numeral Recognition using Geometric Features and Statistical Combination Classifier
This paper presents a Devnagari Numerical recognition method based on statistical discriminant functions. 17 geometric features based on pixel connectivity, lines, line directions, holes, image area, perimeter, eccentricity, solidity, orientation etc. are used for representing the numerals. Five discriminant functions viz. Linear, Quadratic, Diaglinear, Diagquadratic and Mahalanobis distance ar...
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ژورنال
عنوان ژورنال: Baghdad Science Journal
سال: 2011
ISSN: 2411-7986,2078-8665
DOI: 10.21123/bsj.8.1.188-196