95 citations · 124 across the 4 of their papers we have counts for
4 papers
Classification Of Gradient Change Features Using MLP For Handwritten Character Recognition
Sandhya Arora, Latesh Malik, Debotosh Bhattacharjee +1
A novel, generic scheme for off-line handwritten English alphabets character images is proposed. The advantage of the technique is that it can be applied in a generic manner to dif…
A novel approach for handwritten Devnagari character recognition
Sandhya Arora, Latesh Malik, Debotosh Bhattacharjee +1
In this paper a method for recognition of handwritten devanagari characters is described. Here, feature vector is constituted by accumulated directional gradient changes in differe…
A Two Stage Classification Approach for Handwritten Devanagari Characters
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri +1
The paper presents a two stage classification approach for handwritten devanagari characters The first stage is using structural properties like shirorekha, spine in character and…
Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri +3
Classification methods based on learning from examples have been widely applied to character recognition from the 1990s and have brought forth significant improvements of recogniti…