公开(公告)号：MY181097A

公开(公告)日：2020-12-17

申请号：MYPI2015704495

申请日：2015-12-09

Applicant: MIMOS BERHAD

Inventor： HAMAM MOKAYED ,  NG HOOI SIN ,  LIANG KIM MENG ,  HON HOCK WOON ,  HUM YAN CHAI

Abstract: The present invention relates to a system and method that is capable of identifying the base colour of a plate from one or more images which are applicable in determining the types of vehicles based on the base colour of the vehicle license plate. In particular, this invention enables taxis in Malaysia which have license plates with a white background and black characters, and normal vehicles in Malaysia which carry license plates with black background and white characters to be identified. (The Most Illustrative Drawing: Figure 1).

公开(公告)号：MY185612A

公开(公告)日：2021-05-25

申请号：MYPI2015704840

申请日：2015-12-30

Applicant: MIMOS BERHAD

Inventor： HUM YAN CHAI ,  LIANG KIM MENG ,  HON HOCK WOON ,  HAMAM MOKAYED

Abstract: The present disclosure relates to the field of automated identification plate (306) recognition, and more particularly relates to automated identification plate (306) recognition based on background estimation binarization (210). In an aspect, the present disclosure relates to a system for detecting and recognizing a vehicle identification plate, wherein system includes a plate detection module (202) configured to detect location of the plate; a plate segmentation module (204) that configured to segment characters in the detected plate into respective individual entities; a plate recognition module (206) configured to recognize the individual entities of the detected plate as alphabets and/or numerals; and a plate post-analyzer module (208) configured to determine full text of the detected plate, wherein the characters are segmented by the plate segmentation module (204) by applying background estimation binarization (210) in order to obtain the respective individual entities.

公开(公告)号：MY194055A

公开(公告)日：2022-11-10

申请号：MYPI2017000524

申请日：2017-04-07

Applicant: MIMOS BERHAD

Inventor： HASMARINA BINTI HASAN ,  LIANG KIM MENG ,  HAMAM MOKAYED ,  HUM YAN CHAI ,  HON HOCK WOON

IPC: G06T7/00 ,  G06K9/00

Abstract: The present invention relates to a method for recognising special license plate (1000) by separating input of a binarised plate image into alphabet part and numeric part (1100); computing width to height ratio of the alphabet part (1200); determining whether the width to height ratio of the alphabet part is more or less than a predetermined ratio (1300); computing density of white pixel of a vertical histogram projection to recognise standard cursive plate of special license plate (1400) if the width to height ratio of the alphabet part is less than the predetermined ratio; and computing density of white pixel of the vertical histogram projection to recognise non-standard cursive plate of special license plate (1500) if the width to height ratio of the alphabet part is more than the predetermined ratio.

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.