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Mining of repeated patterns from HTML documents is the key step towards Web-based data mining and knowledge extraction. Many web crawling applications need efficient repeated patterns mining techniques to generate their wrapper automatically. Existing approaches such as tree matching and string matching can detect repeated patterns with high precision, but their performance is still a challenge for...
This paper describes Syllable Segmentation method for printed text documents in Telugu, a South Indian language. Syllable segmentation is a fundamental process for various applications namely word segmentation, speech synthesis and information retrieval. The segmentation algorithm is motivated by the structure of the script. The segmentation process is complicated due to inherent ambiguities of the...
The Human Ear is a new class of relatively stable Biometrics that has drawn researcher's attention recently. Human ear is a perfect data for passive person identification, which can be applied to provide security in the public places. In this article, we overview the proposed Pattern extraction algorithms from 2D and 3D Ear images.
Radio frequency identification (RFID) is a proven automation technology finding application in various commercial sectors. These applications involve locating all tagged items automatically using available RFID readers. RFID readers are of two types, fixed and mobile. The number of readers required to cover an area depends on factors such as the properties of the reader, tag and the shape of the area...
We propose a classical approach in the segmentation of canonical syllables of Telugu document images. Connected component approach is a simple strategy adopted until recent period. In this paper we propose a canonical syllable model which is equivalent to canonical structure C(C(CV))). The model consists of zone separation and component extraction phases as independent parts. The relation between...
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