Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dastidar, Jayati Ghosh"'
Publikováno v:
International Journal of Science and Applied Information Technology, Volume 3, No.2, March - April 2014
In this paper we have presented a hand gesture recognition library. Various functions include detecting cluster count, cluster orientation, finger pointing direction, etc. To use these functions first the input image needs to be processed into a logi
Externí odkaz:
http://arxiv.org/abs/1507.05243
This paper describes the method to recognize offline handwritten characters. A robust algorithm for handwriting segmentation is described here with the help of which individual characters can be segmented from a selected word from a paragraph of hand
Externí odkaz:
http://arxiv.org/abs/1507.05244
Publikováno v:
International Journal of Computer Applications 96(13):27-33, June 2014
Sometimes a simple and fast algorithm is required to detect human presence and movement with a low error rate in a controlled environment for security purposes. Here a light weight algorithm has been presented that generates alert on detection of hum
Externí odkaz:
http://arxiv.org/abs/1506.08815
Publikováno v:
IJACR, Volume 4, Issue 14, March 2014, pp. 145-150
It is at times important to detect human presence automatically in secure environments. This needs a shape recognition algorithm that is robust, fast and has low error rates. The algorithm needs to process camera images quickly to detect any human in
Externí odkaz:
http://arxiv.org/abs/1506.08682
Publikováno v:
Subhajit Adhikari, Joydeep Kar, Jayati Ghosh Dastidar, "An automatic and efficient foreground object extraction scheme", International Journal of Science and Advanced Information Technology, 3 (2), 2014, pp. 40-43
This paper presents a method to differentiate the foreground objects from the background of a color image. Firstly a color image of any size is input for processing. The algorithm converts it to a grayscale image. Next we apply canny edge detector to
Externí odkaz:
http://arxiv.org/abs/1506.08704
Publikováno v:
International Journal of Advanced Research in Computer Science; May/Jun2017, Vol. 8 Issue 5, p2144-2147, 4p
