欢迎来到冰点文库! | 帮助中心 分享价值,成长自我!
冰点文库
全部分类
  • 临时分类>
  • IT计算机>
  • 经管营销>
  • 医药卫生>
  • 自然科学>
  • 农林牧渔>
  • 人文社科>
  • 工程科技>
  • PPT模板>
  • 求职职场>
  • 解决方案>
  • 总结汇报>
  • ImageVerifierCode 换一换
    首页 冰点文库 > 资源分类 > DOCX文档下载
    分享到微信 分享到微博 分享到QQ空间

    基于BP神经网络的车型识别外文翻译Word文档格式.docx

    • 资源ID:4117135       资源大小:169.84KB        全文页数:22页
    • 资源格式: DOCX        下载积分:3金币
    快捷下载 游客一键下载
    账号登录下载
    微信登录下载
    三方登录下载: 微信开放平台登录 QQ登录
    二维码
    微信扫一扫登录
    下载资源需要3金币
    邮箱/手机:
    温馨提示:
    快捷下载时,用户名和密码都是您填写的邮箱或者手机号,方便查询和重复下载(系统自动生成)。
    如填写123,账号就是123,密码也是123。
    支付方式: 支付宝    微信支付   
    验证码:   换一换

    加入VIP,免费下载
     
    账号:
    密码:
    验证码:   换一换
      忘记密码?
        
    友情提示
    2、PDF文件下载后,可能会被浏览器默认打开,此种情况可以点击浏览器菜单,保存网页到桌面,就可以正常下载了。
    3、本站不支持迅雷下载,请使用电脑自带的IE浏览器,或者360浏览器、谷歌浏览器下载即可。
    4、本站资源下载后的文档和图纸-无水印,预览文档经过压缩,下载后原文更清晰。
    5、试题试卷类文档,如果标题没有明确说明有答案则都视为没有答案,请知晓。

    基于BP神经网络的车型识别外文翻译Word文档格式.docx

    1、According to the guideline for vehicle inspection 9, all license plates must be rectangular and have the dimensions and have all 7 characters written in a single line. Under practical environments, the distance from the camera to vehicles and the inclined angles are constant, so all characters of th

    2、e license plate have a fixed width, and the distance between the medium axes of two adjoining characters is fixed and the ratio between width and height is nearly constant. Those features can be used to locate the plate and segment the individual character.B. Color collocation of the plateThere are

    3、four kinds of color collocation for the Chinese vehicle license plate .These color collocations are shown in table I. TABLE ICategory of license plateColor collocationsmall horse power plateblue background and white charactersmotor truck plateyellow background and black charactersmilitary vehicle an

    4、d police wagon plateblack background and the white charactersembassy vehicle platewhite background and black charactersMoreover, military vehicle and police wagon plates contain a red character which belongs to a specific character set. This feature can be used to improve the recognition rate.C. Lay

    5、out of the Chinese VLPSThe criterion of the vehicle license plate defines the characters layout of Chinese license plate. All standard license plates contain Chinese characters, numbers and letters which are shown in Fig.1. The first one is a Chinese character which is an abbreviation of Chinese pro

    6、vinces. The second one is a letter ranging from A to Z except the letter I. The third and fourth ones are letters or numbers. The fifth to seventh ones are numbers ranging from 0 to 9 only. However the first or the seventh ones may be red characters in special plates (as shown in Fig.1). After segme

    7、ntation process the individual character is extracted. Taking advantage of the layout and color collocation prior knowledge, the individual character will enter one of the classes: abbreviations of Chinese provinces set, letters set, letters or numbers set, number set, special characters set.(a)Typi

    8、cal layout(b) Special characterFig.1 The layout of the Chinese license plateIII. THE PROPOSED ALGORITHMThis algorithm consists of four modules: VLP location, character segmentation, character classification and character recognition. The main steps of the flowchart of LPR system are shown in Fig. 2.

    9、 Firstly the license plate is located in an input image and characters are segmented. Then every individual character image enters the classifier to decide which class it belongs to, and finally the BP network decides which character the character image represents.Image acquisitionPlate locationChar

    10、acters segmentation segmentationclassifierChinese characterLetterLetter or numberNumberSpecial characterCharacters recognitionFig.2 The flowchart of LPR systemA. Preprocessing the license plate1) VLP LocationThis process sufficiently utilizes the color feature such as color collocation, color center

    11、s and distribution in the plate region, which are described in section II. These color features can be used to eliminate the disturbance of the fake plates regions. The flowchart of the plate location is shown in Fig. 3.Characters edge detectionBinary image segmentingCandidate image detectionVehicle

    12、 plate extractionFig.3 The flowchart of the plate location algorithmThe regions which structure and texture similar to the vehicle plate are extracted. The process is described as followed: (1) (2)Here, the Gaussian variance is set to be less than W/3 (W is the character stroke width), so gets its m

    13、aximum value M at the center of the stroke. After convolution, binarization is performed according to a threshold which equals T * M (T MaxFFor each character segmentsCalculate the medium point For each two consecutive medium pointsCalculate the distance Calculate the minimum distanceMerge the chara

    14、cter segment k and the character segment k +1NF = NF - 1End of algorithm where Nf is the number of character segments, MaxF is the number of the license plate, and i is the index of each character segment.The medium point of each segmented character is determined by: (3)where is the initial coordina

    15、tes for the character segment, and is the final coordinate for the character segment. The distance between two consecutive medium points is calculated by: (4)Fig.6 The segmentation resultsB. Using specific prior knowledge for recognition The layout of the Chinese VLP is an important feature (as desc

    16、ribed in the section II), which can be used to construct a classifier for recognizing. The recognizing procedure adopted conjugate gradient descent fast learning method, which is an improved learning method of BP neural network10. Conjugate gradient descent, which employs a series of line searches i

    17、n weight or parameter space. One picks the first descent direction and moves along that direction until the minimum in error is reached. The second descent direction is then computed: this direction the “conjugate direction” is the one along which the gradient does not change its direction will not

    18、“spoil” the contribution from the previous descent iterations. This algorithm adopted topology 625-35-N as shown in Fig. 7. The size of input value is 625 (25*25 ) and initial weights are with random values, desired output values have the same feature with the input values.Fig. 7 The network topologyAs Fig. 7 shows, there is a three-l


    注意事项

    本文(基于BP神经网络的车型识别外文翻译Word文档格式.docx)为本站会员主动上传,冰点文库仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知冰点文库(点击联系客服),我们立即给予删除!

    温馨提示:如果因为网速或其他原因下载失败请重新下载,重复下载不扣分。




    关于我们 - 网站声明 - 网站地图 - 资源地图 - 友情链接 - 网站客服 - 联系我们

    copyright@ 2008-2023 冰点文库 网站版权所有

    经营许可证编号:鄂ICP备19020893号-2


    收起
    展开