Human face recognizing method based on geometric matching and split-merge algorithm

A face recognition and algorithm technology, applied in the field of face recognition, can solve problems such as large amount of calculation, poor adaptability, and inability to use face templates, and achieve the effect of clear and simple algorithm and clear and simple positioning.

A face recognition and algorithm technology, applied in the field of face recognition, can solve problems such as large amount of calculation, poor adaptability, and inability to use face templates, and achieve the effect of clear and simple algorithm and clear and simple positioning.

CN102831397AInactive Publication Date: 2012-12-19CHANGZHOU LENCITY INFORMATION TECH
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  • Human face recognizing method based on geometric matching and split-merge algorithm
  • Human face recognizing method based on geometric matching and split-merge algorithm
  • Human face recognizing method based on geometric matching and split-merge algorithm

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Embodiment Construction

[0035] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0036] A face recognition method based on geometric matching and separation and combination algorithm, the specific method is as follows:

[0037] a. Image segmentation in face positioning: separate the organs of the face from other parts of the face, and preserve the integrity of each organ. In photos, the more obvious and easily identifiable features of the face are mainly facial organs : Eyes, mouth, nose and eyebrows. The nose tends to have little contrast with the face, so nostrils are often used instead. These few facial features are generally darker than the surrounding areas in grayscale images. Especially the eyes and mouth are clearly visible in m...

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Abstract

The invention relates to a human face recognizing method based on geometric matching and a split-merge algorithm. The method comprises the following specific steps: a. cutting an image in human face positioning; b. carrying out the split-merge algorithm after the image is cut; c. conducting a grouping algorithm; d. calculating shape attributes, including (1) the position of a feature block, (2) the orientation of the feature block, and (3) an external rectangle of the feature block; e. preprocessing the image, including (1) the enhancing to image contrast, and (2) binaryzation; and f. conducting a geometric matching algorithm. According to the human face recognizing method based on the geometric matching and the split-merge algorithm, with the adoption of the split-merge algorithm and the geometric matching algorithm, the positioning to a human face is realized, the algorithm is clear and simple, a certain noise resistance ability is provided, and method accords with the characteristic that a human eye has multiple scales of vision.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a face recognition method based on geometric matching and split-combine algorithm. Background technique [0002] The location of the so-called human face is to mark the position of the human face in the photo (static image) or video (dynamic image), and select the human face. Face recognition is to compare the selected faces with the existing faces in the database to find matching files. Some literature refers to face positioning and recognition collectively as face recognition, and positioning and recognition are two main steps. A complete face recognition system involves determining whether there are faces in a photo or video, and counting, locating, sizing, identifying individuals from a database, and possibly expressions, and describing them from images of faces ( Melon seed face, red phoenix eyes, etc. are examples of "description" in daily life), or conversely select match...

Claims

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Application Information

Patent Timeline
19 Dec 2012
Publication
CN102831397A
IPC
G06K9/00
Inventors
吴军