CN103679147A - Method and device for identifying model of mobile phone - Google Patents
Method and device for identifying model of mobile phone Download PDFInfo
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- CN103679147A CN103679147A CN201310659473.8A CN201310659473A CN103679147A CN 103679147 A CN103679147 A CN 103679147A CN 201310659473 A CN201310659473 A CN 201310659473A CN 103679147 A CN103679147 A CN 103679147A
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Abstract
The invention discloses a method and device for identifying the model of a mobile phone. The method for identifying the model of the mobile phone comprises the steps of building a database containing various samples in advance, taking a picture of the mobile phone to be identified, extracting feature information from the picture, comparing the feature information with the samples in the database, and determining the model of the mobile phone to be identified according to the model of the sample which is the most similar to the mobile phone. A user does not need to participate in the process, the process is automatically accomplished, influence of human factors is avoided, the samples with the known models are used as comparison objects, comparison of various features is carried out, the similarity serves as the standard, the obtained result is high in accuracy, and correct identification of the model of the mobile phone can be facilitated.
Description
Technical field
The present invention relates to technical field of mobile terminals, particularly relate to a kind of recognition methods and device of mobile phone model.
Background technology
In some cases, need to identify mobile phone model.For example, for reclaiming mobile phone, classic method is all to rely on manually with impression identification type, and with sensation judgement newness degree, appraisal by rule of thumb, causing transaction to be difficult to accomplish fair and just, is unfavorable for that mobile phone reclaims the standard in market.
Summary of the invention
Based on above-mentioned situation, the present invention proposes a kind of recognition methods and device of mobile phone model, so that mobile phone model is identified.
A recognition methods for mobile phone model, comprises step:
Take mobile phone to be identified, obtain cell phone pictures, and records photographing distance and angle;
From described cell phone pictures, extract trade mark, character and shape, according to the shooting distance of record and the angle size of determining mobile phone to be identified;
By trade mark, character, the shape extracted, and determined size, mate with the sample in the database of setting up in advance, according to the model of the most similar sample, determine the model of mobile phone to be identified.
A recognition device for mobile phone model, comprising:
Capture apparatus, for taking mobile phone to be identified, obtains cell phone pictures, and records photographing distance and angle;
Information extraction modules, for extracting trade mark, character and shape from described cell phone pictures, according to the shooting distance of record and the angle size of determining mobile phone to be identified;
Sample matches module, for by trade mark, character, the shape extracted, and determined size, mate with the sample in the database of setting up in advance, according to the model of the most similar sample, determine the model of mobile phone to be identified.
The recognition methods of mobile phone model of the present invention and device, set up in advance the database that comprises various samples, after mobile phone to be identified is taken pictures, characteristic information extraction from photo, and compare with the sample in database, according to the model of the most similar sample, determine the model of mobile phone to be identified.In process, without user, participate in, automatically complete, avoided the impact of human factor, and take known models sample as contrast object, various features is contrasted, take similarity as tolerance, acquired results has higher accuracy, is conducive to the correct identification of mobile phone model.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the recognition methods of mobile phone model of the present invention;
Fig. 2 is the schematic flow sheet of character string identification;
Fig. 3 is the character string before image is ajusted;
Fig. 4 is the character string after image is ajusted;
Fig. 5 is string segmentation effect schematic diagram;
Fig. 6 is brand recognition schematic flow sheet;
Fig. 7 is the structural representation of the recognition device of mobile phone model of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is described in further detail.Should be appreciated that embodiment described herein, only in order to explain the present invention, does not limit protection scope of the present invention.
The recognition methods of mobile phone model of the present invention, as shown in Figure 1, comprises step:
Step s101, take mobile phone to be identified, obtain cell phone pictures, and records photographing distance and angle;
Step s102, from described cell phone pictures, extract trade mark, character and shape, the size of determining mobile phone to be identified according to the shooting distance of record and angle;
Step s103, by trade mark, character, the shape extracted, and determined size, mates with the sample in the database of setting up in advance, determines the model of mobile phone to be identified according to the model of the most similar sample.
The extraction of trade mark and character is for brand under definite mobile phone, and the extraction of size and shape is in order to determine mobile phone belongs to which model under brand.When mating, can first mate trade mark and character, determine product bridge queen, according to size and shape, mate with all samples of this brand in database again, every kind of feature is all set the threshold value of a similarity, reach threshold value and think that current phone and sample coincide, the model using the model of sample as current phone.Because trade mark and character may appear at mobile phone front, also may be placed in the mobile phone back side, while therefore taking, answer tow sides all to take, and the photo on positive two sides is extracted and analyzed.
The identification of trade mark, character, size and shape can be divided into three processes to be carried out independently, is described in detail as follows.
Character string identification
Character string identification process is as shown in Figure 2 in other words for character.
1, pre-service
At preprocessing process, mainly complete by cell phone pictures being done to the processing such as filtering, denoising, sharpening and morphological operation, so that picture is easy to subsequent operation.Meanwhile, in this step, also, by the location completing character string, extracting String Region, is also area-of-interest.
2, rotation is ajusted
May there is the degree of tilt of certain existence in the handset image photographing due to camera, character string also can tilt, so when separating character territory, should first correct character.Process is as follows:
By the String Region binaryzation of extracting in step 1 (adopting OTSU or K means clustering algorithm), and then in 1 to 180 degree angle, image is rotated, record the projection of character string on x direction of principal axis, in the time of projection minimum on x direction of principal axis, be in presentation video parallel by character in y axle, complete rectification, now recorded the pitch angle of rotation.Then utilize the image rotation function of oneself writing to realize the rectification to character picture.
3, Character segmentation
After the 2nd step completes the inclination of character picture is corrected, image is done respectively to projection on x axle and y direction of principal axis and just can know the pixel distribution scope of character zone on x axle and the pixel distribution scope on y axle, then to image being done and cut apart according to this scope.
For example, ix1 and ix2 are respectively origin coordinates value and the termination coordinate figure of the pixel coverage of certain character projection on x axle, and iy1 and iy2 are respectively origin coordinates value and the termination coordinate figure of the pixel coverage of projection on y axle.Only this panel region need to be set is ROI, then it is copied out, can be partitioned into each character in this way.
Be partitioned into after single character, then character image zooming is arrived to unified size, i.e. normalization.
Brand recognition
The process of brand recognition as shown in Figure 6.
1, trademark image is cut apart
Tentatively cut apart.By picture by RGB color space conversion to Lab color space, and extract statistics two-dimensional histogram according to a, b dimension, according to two-dimensional histogram peak characteristic distributions intuitively, by after histogram upset, on histogram, segmentation algorithm, fills peak, obtains tentatively cutting apart of image;
Duplication is weighed and delamination area merges.The corresponding cut zone sample of filling and Gaussian distribution are combined, image is made to the parameter estimation under gauss hybrid models hypothesis, finally between model and model, carry out Duplication measurement and delamination area and merge, obtain final trademark image segmentation result.
2, extract shape border feature
After being partitioned into trademark image, adopt SUSAN algorithm to obtain border angle point, and carry out wrong angle point eliminating, then its and Delaunay Triangulation Algorithm are carried out to combination, structure Delaunay schemes and is used for the shape of the trade mark in presentation video.Then the Delaunay triangulation network is carried out to feature extraction, form the boundary characteristic of shape is described.This Boundary characteristic extraction method has translation and rotational invariance.
3, trade mark coupling
Trademark image similarity matching is mainly the similarity of considering between image feature vector.According to the distance between proper vector and predefined threshold value, judge that whether two width images are similar, be greater than setting threshold, be judged to same trade mark.Thereby determine mobile phone brand.
Determining of size and shape
1, pre-service
At preprocessing process, mainly complete by cell phone pictures being done to the processing such as filtering, denoising, sharpening and morphological operation, accurately realize the binaryzation of the image collecting.
On the basis of binaryzation, extract the accurate profile of mobile phone, and other irrelevant parts are got rid of.
2, the outward appearance of mobile phone identification
The external appearance characteristic of mobile phone has comprised the radians analyze of surrounding, mainly adopts profile analysis method.
3, the size identification of mobile phone
Size identification key is to find an object of reference, and the size of utilizing each pixel to represent is mainly to utilize the resolution of camera to analyze.
As a preferred embodiment, when realizing this method, as follows to the requirement of hardware aspect.
database:
1) adopt the server of Centos system;
2) MySQL data base management system (DBMS).
client:
1) Windows Xp or Windows7 operating system (CPU: higher than 2.0GHz);
2) in mechanical box, there is controlled camera;
3) there is stable network service with server.
The recognition device of mobile phone model of the present invention is the device corresponding with said method, as shown in Figure 7, comprising:
Capture apparatus, for taking mobile phone to be identified, obtains cell phone pictures, and records photographing distance and angle;
Information extraction modules, for extracting trade mark, character and shape from described cell phone pictures;
Sample matches module, for by trade mark, character, the shape extracted, and shooting distance and the angle of record, mate with the sample in the database of setting up in advance, according to the model of the most similar sample, determine the model of mobile phone to be identified.
As a preferred embodiment, when described capture apparatus is taken mobile phone to be identified, from tow sides, take respectively.
As a preferred embodiment, described information extraction modules also, for before extracting trade mark, character and shape, is first carried out the pre-service of filtering, denoising, sharpening and morphological operation to described cell phone pictures.
As a preferred embodiment, described information extraction modules is also for before extracting trade mark, character and shape, and first described cell phone pictures being carried out ajusting character is that processing is ajusted in the rotation of standard.
As a preferred embodiment, described information extraction modules also, for when extracting character from described cell phone pictures, is first cut apart and normalization the character in described cell phone pictures, then carries out character recognition.
To sum up, this method and device be by analyzing the features such as character in cell phone pictures, trade mark, profile, according to feature whether with database in the Data Matching of having preserved identify mobile phone model.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a recognition methods for mobile phone model, is characterized in that, comprises step:
Take mobile phone to be identified, obtain cell phone pictures, and records photographing distance and angle;
From described cell phone pictures, extract trade mark, character and shape, according to the shooting distance of record and the angle size of determining mobile phone to be identified;
By trade mark, character, the shape extracted, and determined size, mate with the sample in the database of setting up in advance, according to the model of the most similar sample, determine the model of mobile phone to be identified.
2. the recognition methods of mobile phone model according to claim 1, is characterized in that,
While taking mobile phone to be identified, from tow sides, take respectively.
3. the recognition methods of mobile phone model according to claim 1 and 2, is characterized in that,
Before extracting trade mark, character and shape, first described cell phone pictures is carried out the pre-service of filtering, denoising, sharpening and morphological operation.
4. the recognition methods of mobile phone model according to claim 1 and 2, is characterized in that,
Before extracting trade mark, character and shape, first described cell phone pictures is rotated and ajusts processing.
5. the recognition methods of mobile phone model according to claim 1 and 2, is characterized in that,
When extracting character from described cell phone pictures, first the character in described cell phone pictures is cut apart and normalization, then carried out character recognition;
When extracting trade mark from described cell phone pictures, first the trademark image in described cell phone pictures is cut apart, then extracted the shape border feature of trademark image.
6. a recognition device for mobile phone model, is characterized in that, comprising:
Capture apparatus, for taking mobile phone to be identified, obtains cell phone pictures, and records photographing distance and angle;
Information extraction modules, for extracting trade mark, character and shape from described cell phone pictures, according to the shooting distance of record and the angle size of determining mobile phone to be identified;
Sample matches module, for by trade mark, character, the shape extracted, and determined size, mate with the sample in the database of setting up in advance, according to the model of the most similar sample, determine the model of mobile phone to be identified.
7. the recognition device of mobile phone model according to claim 6, is characterized in that,
When described capture apparatus is taken mobile phone to be identified, from tow sides, take respectively.
8. according to the recognition device of the mobile phone model described in claim 6 or 7, it is characterized in that,
Described information extraction modules also, for before extracting trade mark, character and shape, is first carried out the pre-service of filtering, denoising, sharpening and morphological operation to described cell phone pictures.
9. according to the recognition device of the mobile phone model described in claim 6 or 7, it is characterized in that,
Described information extraction modules also, for before extracting trade mark, character and shape, is first rotated and ajusts processing described cell phone pictures.
10. according to the recognition device of the mobile phone model described in claim 6 or 7, it is characterized in that,
Described information extraction modules also, for when extracting character from described cell phone pictures, is first cut apart and normalization the character in described cell phone pictures, then carries out character recognition; When extracting trade mark from described cell phone pictures, first the trademark image in described cell phone pictures is cut apart, then extracted the shape border feature of trademark image.
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