公开(公告)号：US20220343464A1

公开(公告)日：2022-10-27

申请号：US17393081

申请日：2021-08-03

申请人： Tata Consultancy Services Limited

发明人： AMIT KUMAR AGRAWAL ,  MANTU PRASAD GUPTA ,  TANMAY SUHAS JAGTAP ,  DEVANG JAGDISHCHANDRA PATEL ,  PUSHP KUMAR JAIN ,  DINESH YADAV ,  PRABHAT RANJAN MISHRA ,  RAJDEEP CHATTERJEE ,  PROSENJIT MONDAL

IPC分类号： G06T3/40 ,  H04N1/00 ,  G06T7/11 ,  G06T7/136 ,  G06T7/13 ,  G06T5/00 ,  G06T5/20 ,  G06T7/90

摘要： ROI (Region of Interest) detection is an important step in extracting relevant information from a document image. Such images are very high-resolution images in nature and size of images is in order of megabytes, which makes text detection pipeline very slow. Traditional methods detect and extract ROI from images, but these work only for specific image types. Other approaches include deep learning (DL) based methods for ROI detect which need intensive training and require high end computing infrastructure/resources with graphical processing unit (GPU) capabilities. Systems and methods of the present disclosure perform ROI extraction by partitioning input image into parts based on its visual perception and then classify the image in first or second category. Region of interest is extracted from a resized image based on the classification by applying image processing techniques. Further, the system determines whether the input image is a pre-cropped image or a normal scanned image.

公开(公告)号：US20230377356A1

公开(公告)日：2023-11-23

申请号：US18183411

申请日：2023-03-14

申请人： Tata Consultancy Services Limited

发明人： AMIT KUMAR AGRAWAL ,  MANTU PRASAD GUPTA ,  DEVANG JAGDISHCHANDRA PATEL ,  PUSHP KUMAR JAIN

IPC分类号： G06V30/14 ,  G06V20/62 ,  G06V30/164 ,  G06V30/18 ,  G06V30/19

CPC分类号： G06V30/1444 ,  G06V20/62 ,  G06V30/164 ,  G06V30/18086 ,  G06V30/19007

摘要： This disclosure relates generally to method and system for detecting and extracting price region from digital flyers and promotions. In retail business, extracting price information from digital flyers is crucial for complex nature of flyers having large variety of formats, color scheme, font styles, variable text information and thereof. The method of the present disclosure detects a text region comprising a price information from a set of digital flyers and promotions received as input images. Further, each text region is converted into a two-color text comprising of a set of white pixels and a set of black pixels. Further, underlying price from the price region of the two-color text is detected and price is extracted from the price region of each input image. Additionally, the price region detection function detects price region accurately and extracts price values having an irregular font size.