S
Santanu Chaudhury
Researcher at Indian Institute of Technology, Jodhpur
Publications - 389
Citations - 4361
Santanu Chaudhury is an academic researcher from Indian Institute of Technology, Jodhpur. The author has contributed to research in topics: Ontology (information science) & Deep learning. The author has an hindex of 28, co-authored 380 publications receiving 3691 citations. Previous affiliations of Santanu Chaudhury include Central Electronics Engineering Research Institute & Indian Institute of Technology Delhi.
Papers
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Computer Vision, Graphics, and Image Processing
Snehasis Mukherjee,Suvadip Mukherjee,Dipti Prasad Mukherjee,Jayanthi Sivaswamy,Suyash Awate,Srirangaraj Setlur,Anoop M. Namboodiri,Santanu Chaudhury +7 more
TL;DR: A novel intelligent multiple watermarking techniques are proposed that has reduced the amount of data to be embedded and consequently improved perceptual quality of the watermarked image.
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Signature verification using multiple neural classifiers
Reena Bajaj,Santanu Chaudhury +1 more
TL;DR: Experimental results show that combination of the classifiers increases reliability of the recognition results and is the unique feature of this work.
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Recognition of dynamic hand gestures
TL;DR: A recognition engine is developed which can reliably recognize these gestures despite individual variations and has the ability to detect start and end of gesture sequences in an automated fashion.
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Text Extraction and Document Image Segmentation Using Matched Wavelets and MRF Model
TL;DR: A clustering-based technique has been devised for estimating globally matched wavelet filters using a collection of groundtruth images and a text extraction scheme for the segmentation of document images into text, background, and picture components is extended.
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Devnagari numeral recognition by combining decision of multiple connectionist classifiers
TL;DR: Experimental results show that the technique for recognition of handwritten Devnagari numerals is effective and reliable and a multi-classifier connectionist architecture has been proposed for increasing reliability of the recognition results.