CAJ | 학술논문

掌纹识别是个人身份识别的一种有效手段,而识别设备的小型化则将掌纹鉴别推向更广阔的应用领域.实现了一种基于ARM和WinCE的掌纹鉴别系统方案,ARM处理器从数字摄像头获取掌纹图像,提取特征,与掌纹特征库中的对应模板比对,根据匹配的结果给出一个开关信号量.实验证明该系统能以较高精度鉴别掌纹,软件采用的算法具有平移、旋转不变,光照与仿射部分不变等优点,对手掌的姿态、距离、位置变化具有较高的容纳能力,用非接触式的掌纹采集方式,不需要定位装置,充分体现该系统的用户亲和力.此外,该系统还具有体积小、成本低、低功耗等优点,适合应用于成本和功耗敏感的民用系统中.
장문식별시개인신빈식별적일충유효수단,이식별설비적소형화칙장장문감별추향경엄활적응용영역.실현료일충기우ARM화WinCE적장문감별계통방안,ARM처리기종수자섭상두획취장문도상,제취특정,여장문특정고중적대응모판비대,근거필배적결과급출일개개관신호량.실험증명해계통능이교고정도감별장문,연건채용적산법구유평이、선전불변,광조여방사부분불변등우점,대수장적자태、거리、위치변화구유교고적용납능력,용비접촉식적장문채집방식,불수요정위장치,충분체현해계통적용호친화력.차외,해계통환구유체적소、성본저、저공모등우점,괄합응용우성본화공모민감적민용계통중.
Palmprint recognition is an efficient method to identify a person. The small size of palmpdnt identification equipment will facilitate applications and extend application scope. This paper implements a practical schema of the palmprint identification system based on ARM and WinCE. The ARM processor acquires the palm image from a digital camera, extracts the features from the palm image and matches the feature with corresponding template in the database, finally gives out the identification result. Experimentations proved that the proposed system could identify palmprints with high accuracy. Fur-thermore, the proposed algorithm is invariant to image translation and rotation, and is partially invariant to affine distortion,image scale, changes in 3D viewpoint and illumination. The palmprint could be captured in contactless manner and does not need any fixing facility, which is much friendly to the users. Besides, the proposed system has the merits of small size,cost-effective and low-power, which are appropriate to be adopted in power and cost sensitive civilian applications.