文件名称:refpaper6_hcrnumkannada

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Abstract. This paper describes a system for isolated Kannada handwritten

numerals recognition using image fusion method. Several digital

images corresponding to each handwritten numeral are fused to generate

patterns, which are stored in 8x8 matrices, irrespective of the size of images.

The numerals to be recognized are matched using nearest neighbor

classifier with each pattern and the best match pattern is considered as

the recognized numeral.The experimental results show accuracy of 96.2

for 500 images, representing the portion of trained data, with the system

being trained for 1000 images. The recognition result of 91 was

obtained for 250 test numerals other than the trained images. Further to

test the performance of the proposed scheme 4-fold cross validation has

been carried out yielding an accuracy of 89 -Abstract. This paper describes a system for isolated Kannada handwritten

numerals recognition using image fusion method. Several digital

images corresponding to each handwritten numeral are fused to generate

patterns, which are stored in 8x8 matrices, irrespective of the size of images.

The numerals to be recognized are matched using nearest neighbor

classifier with each pattern and the best match pattern is considered as

the recognized numeral.The experimental results show accuracy of 96.2

for 500 images, representing the portion of trained data, with the system

being trained for 1000 images. The recognition result of 91 was

obtained for 250 test numerals other than the trained images. Further to

test the performance of the proposed scheme 4-fold cross validation has

been carried out yielding an accuracy of 89
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