Printed and Handwritten Character & Number Recognition of Devanagari Script using gradient features
نویسندگان
چکیده
In this paper we are extracting feature of handwritten and ISM printed characters of devanagri script. we are extracting Gradient feature of the devanagari script ,for that we are using two operators i.e. Sobel and Robert operator respectively . Here we are computing gradient in 8,12,16,32 directions and getting different feature vectors respectively. We are using each directional vector separately for classification.
منابع مشابه
Printed and Handwritten Character &Number Recognition of Devanagari Script using SVM and KNN
Recognition of Devanagari scripts is challenging problems. In Optical Character Recognition [OCR], a character or symbol to be recognized can be machine printed or handwritten characters/numerals. There are several approaches that deal with problem of recognition of numerals/character. In this paper we have compared SVM and KNN on handwritten as well as on printed character and numerical databa...
متن کاملPerformance Comparison of Features on Devanagari Hand-printed Dataset
Devanagari script is being used in various languages, in south Asian subcontinent, such as Sanskrit, Rajasthani, Marathi and Nepali and it is also the script of Hindi, the mother tongue of majority of Indians. Recognition of handwritten characters of Devanagari alphabet set is an important area of research. The work done for the recognition of Devanagari handwritten script is negligible in lite...
متن کاملDevanagari Script Separation and Recognition Using Morphological Operations and Optimized Feature Extraction Methods
Now days handwritten recognition systems increasingly used for automatic document scanning and analysis purpose. Hence from last two decades this becomes challenging area for researchers. Using semi-automated or automated methods the machine printed documents and scanned documents are recognized which is called as handwritten recognition. Number of methods has been proposed so far for different...
متن کاملOn-line Handwritten Devanagari Character Recognition using Fuzzy Directional Features
This paper describes a new feature set for use in the recognition of on-line handwritten Devanagari script based on Fuzzy Directional Features. Experiments are conducted for the automatic recognition of isolated handwritten character primitives (sub-character units). Initially we describe the proposed feature set, called the Fuzzy Directional Features (FDF) and then show how these features can ...
متن کاملHandwritten and Printed Devanagari Compound using Multiclass SVM Classifier with Orthogonal moment Feature
Handwritten Devanagari character plays a vital role in the research area. Number of technique has been adopted in previous decades and still some new are arising to get good results from recognition system. In Devanagari, Compound character are complex in structure, they are written by combination two or more character. Due to complex structure in it, it gives a challenging task to the research...
متن کامل