Patents by Inventor Chanaveeragouda Virupaxgouda GOUDAR

Chanaveeragouda Virupaxgouda GOUDAR has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System and method for script and orientation detection of images using artificial neural networks
    Patent number: 8891822
    Abstract: A system and method for script and orientation detection of images using artificial neural networks (ANNs) are disclosed. In one example, textual content in the image is extracted. Further, a vertical component run (VCR) and horizontal component run (HCR) are obtained by vectorizing each connected component in the extracted textual content. Furthermore, a zonal density run (ZDR) is obtained for each connected component in the extracted textual content. In addition, a concatenated vertical document vector (VDV), horizontal document vector (HDV), and zonal density vector (ZDV) is computed by normalizing the obtained VCR, HCR, and ZDR, respectively, for each connected component. Moreover, the script in the image is determined using a script detection ANN module and the concatenated VDV, HDV, and ZDV of the image. Also, the orientation of the image is determined using an orientation detection ANN module and the concatenated VDV, HDV, and ZDV of the image.
    Type: Grant
    Filed: April 10, 2012
    Date of Patent: November 18, 2014
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Chirag Jain, Chanaveeragouda Virupaxgouda Goudar, Kadagattur Gopinatha Srinidhi, Yifeng Wu
  • SYSTEM AND METHOD FOR SCRIPT AND ORIENTATION DETECTION OF IMAGES USING ARTIFICIAL NEURAL NETWORKS
    Publication number: 20130266176
    Abstract: A system and method for script and orientation detection of images using artificial neural networks (ANNs) are disclosed. In one example, textual content in the image is extracted. Further, a vertical component run (VCR) and horizontal component run (HCR) are obtained by vectorizing each connected component in the extracted textual content. Furthermore, a zonal density run (ZDR) is obtained for each connected component in the extracted textual content. In addition, a concatenated vertical document vector (VDV), horizontal document vector (HDV), and zonal density vector (ZDV) is computed by normalizing the obtained VCR, HCR, and ZDR, respectively, for each connected component. Moreover, the script in the image is determined using a script detection ANN module and the concatenated VDV, HDV, and ZDV of the image. Also, the orientation of the image is determined using an orientation detection ANN module and the concatenated VDV, HDV, and ZDV of the image.
    Type: Application
    Filed: April 10, 2012
    Publication date: October 10, 2013
    Inventors: Chirag JAIN, Chanaveeragouda Virupaxgouda GOUDAR, Kadagattur Gopinatha SRINIDHI, Yifeng WU