公开(公告)号：MY189846A

公开(公告)日：2022-03-13

申请号：MYPI2015704817

申请日：2015-12-30

Applicant: MIMOS BERHAD

Inventor： HAMAM MOKAYED ,  LIANG KIM MENG ,  HUM YAN CHAI ,  HON HOCK WOON ,  KELVIN LO YIR SIANG

IPC: G06T7/00 ,  G06K9/00

Abstract: The present invention relates to a system (100) and method for license plate detection. The system (100) comprising an image capturing device (10) configured to obtain an input image, a plate detection module (20) configured to detect location of a plurality of nominated blobs and location of a vehicle license plate, and a plate recognition module (30) configured to recognise a plurality of characters of an image of vehicle license plate and convert the plurality of characters into a text form. The plate detection module (20) filters noise using rule-based Tophat analysis to detect location of the vehicle license plate, wherein the rule-based Tophat analysis is an image processing method to compute the difference between the input image and a binarised input image. (FIG. 1)

公开(公告)号：MY174684A

公开(公告)日：2020-05-07

申请号：MYPI2015704351

申请日：2015-11-27

Applicant: MIMOS BERHAD

Inventor： HAMAM MOKAYED ,  LIANG KIM MENG ,  HON HOCK WOON ,  HUM YAN CHAI ,  KELVIN LO YIR SIANG

Abstract: This disclosure describes a system and method for detecting objects from at least an image. Such invention is useful in detecting vehicle license plate and identifying the characters on the license plate. The method comprises steps of conducting edge-based technique (210) on the image for identifying Binary Large Objects (BLOBs) that potentially represent the objects upon binarizing the image; performing dynamic dilation (220) that determines different bodies of which the objects are respectively located thereon for identifying BLOBs of different objects that appear in a single image; applying group-based filtering (230) on the BLOBs that groups similar BLOBs and filters away unwanted noise for determining entirety of the BLOBs for each object; and aggregating the groups of BLOBs that belong to the same object (240). The aggregated BLOBs are representations of each object that are individually, and entirely or substantially entirely detected from the images despite having gaps in between the different bodies or spaces, or in between both of the different bodies and spaces on each object. Furthermore, this invention enables multiple objects to be detected from a single image.

公开(公告)号：MY172797A

公开(公告)日：2019-12-12

申请号：MYPI2014003462

申请日：2014-12-15

Applicant: MIMOS BERHAD

Inventor： DR HUM YAN CHAI ,  LIANG KIM MENG ,  DR HON HOCK WOON ,  HAMAM MOKAYED ,  KELVIN LO YIR SIANG

IPC: G06K9/00

Abstract: A system (100) and method for extracting and recognizing characters which are inscribed in a vehicle license plate image has been disclosed. The system (100) comprises an image analysing processor (102) for extracting the characters by binarizing the image in an iterative manner with a convergence property which prevents over enhancing of the binarized plate image. The processor (102) includes a binarization module (106) which selectively strengthens and weakens the license plate image's pixel intensity and thereby replaces them with any one of two distinct intensity values in the iterative manner till the binarized image reaches a converging state having an upper part with high intensity value, and a lower part with low intensity value and middle part with intensities that are unattainable to convert into high intensity value.