公开(公告)号：US20200151520A1

公开(公告)日：2020-05-14

申请号：US16216907

申请日：2018-12-11

Applicant: IntelliVision technologies Corp

Inventor： Vaidhi Nathan ,  Gagan Gupta ,  Nitin Jindal ,  Chandan Gope

IPC: G06K9/62 ,  G06F16/783 ,  G06F16/583 ,  G06K9/00 ,  G06K9/46

Abstract: The present invention discloses methods and systems for recognizing an object in an input image based on stored training images. An object recognition system the input image, computes a signature of the input image, compares the signature with one or more stored signatures and retrieves one or more matching images from the set of training images. The matching images are then displayed to the user for further action.

公开(公告)号：US10706330B2

公开(公告)日：2020-07-07

申请号：US15265026

申请日：2016-09-14

Applicant: Intellivision Technologies Corp.

Inventor： Chandan Gope ,  Gagan Gupta ,  Nitin Jindal ,  Amit Agarwal

IPC: G06K9/62 ,  G06T5/20 ,  G06T5/00 ,  G06K9/00

Abstract: The present invention discloses methods, systems and computer programmable products for detecting license plates and recognizing characters in the license plates. The system receives an image and identifies one or more regions including a license plate. The one or more regions are converted into a plurality of binarized images, which are then filtered to remove noise. Next, one or more clusters of characters are identified in the plurality of binarized images. The one or more clusters of characters are analyzed to recognize a set of characters, wherein each character in the set includes a confidence value.