Patent ID: 8891822
Filing Date: 2014-11-18
Classification: G06K

Abstract:
1. A method for script and orientation detection of an image using artificial neural networks (ANNs), comprising: extracting textual content in the image; obtaining a vertical component run (VCR) by vectorizing each connected component in the extracted textual content into a plurality of horizontal zones and determining a number of vertical cuts in each of the plurality of horizontal zones for each connected component in the extracted textual component; obtaining a horizontal component run (HCR) by vectorizing each connected component in the extracted textual content into a plurality of vertical zones and determining a number of horizontal cuts in each of the plurality of vertical zones for each connected component in the extracted textual component; obtaining a zonal density run (ZDR) for each connected component in the extracted textual content; computing a concatenated vertical document vector (VDV), horizontal document vector (HDV), and zonal density vector (ZDV) by normalizing the obtained VCR, HCR, and ZDR, respectively, for each connected component in the image; determining the script in the image using a script detection ANN module and the computed concatenated VDV, HDV, and ZDV of the image; and determining the orientation of the image using an orientation detection ANN module and the computed concatenated VDV, HDV, and ZDV of the image.