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Sumedh P. created project Person Re-identification using deep learning methods

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Person Re-identification using deep learning methods

Person Re-identification involves detection if same person exists in a given pair of images. One of key problems is that the images can be captured from various viewpoints leading to a very low accuracy. Other problems are partial occlusions, illumination variation in the pair of images.

I tend to discover performance of deep CNNs on this problem using normalized cross correlation to combine the features extracted from the image.

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Sumedh P. created project OCR for devnagri scripts

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OCR for devnagri scripts

Opencv library was used for image processing. After removal of speckle, pepper noise and binarization contours in the images where obtained. These contours were the words as shirorekha is present above all characters. Each word was deskewed using hough line transformations and the word was divided into three parts. And shirorekha was removed The features used for classification were the raw pixels. As of now, basic characters(only क ख ग..) segmented by this process were tested using SVM with linear kernel (130 fonts). This was testing on similar fonts and the accuracy was found about to be around 95%

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