Aisharjya Sarkar

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Biological networks provide great potential to understand how cells function. Network motifs, frequent topological patterns, are key structures through which biological networks operate. Counting independent (i.e. non-overlapping) copies of a given motif however remains to be a computationally hard problem. Motif counting problem becomes computationally(More)
Analysis of handwritten documents is a challenging task in the modern era of document digitization. It requires efficient preprocessing which includes word segmentation and baseline detection. This paper proposes a novel approach toward word segmentation and baseline detection in a handwritten document. It is based on certain structural properties of(More)
A novel two-stage algorithm for constructing the orthogonal concavity tree (OCT) of a digital object is proposed. In Stage I, it derives the minimum-area orthogonal cover of the object. In Stage II, it constructs the orthogonal hull from the ortho-cover, and while doing so, extracts the orthogonal concavities in an iterative manner. Nested concavities, if(More)
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