Sumit Srivastava

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The recognition of Indian handwritten languages are attracting the attention of researchers due to wide variation and scope. This manuscript is focus on the Accuracy enhancement of handwritten Devanagari character recognition using background elimination and gray level normalization techniques. Devanagari is a famous and widely used script in India. In last(More)
Detection of surface defects on organic light emitting diode (OLED) panels pose challenges such as irregular shapes and sizes along with varying textures and patterns on the panels. These challenges can be addressed by designing invariant features and training an anomaly detection algorithm such as support vector data description (SVDD). However, these hand(More)
This paper proposes a stereo matching algorithm based on hierarchical belief propagation and occlusion handling. We define a new order for message passing in belief propagation instead of the scanline approach. The primary assumption is that a pixel with a well-defined minimum in its likelihood field is more likely to contain a correct disparity, when(More)
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