Research And Implementation Of Fingerprint Extracted Arithmetic Based On PCNN

We more and more depend on various security measures with the development of the network application and electron business affairs ,such as smart cards, identity cards, password, digital certificate etc, to carry out identity recognition and safety authentication when the network technology develops rapidly. But all of that are usually discommodious and insecure to some extent, for example toting, forgetting, losing and peculating and so on. These disadvantages impact the use of safety authentication measures in the network application, so biometric technology comes into it synchronously. Biometric technology lies on the particularity, the invariability and the measurability of biometric characteristic to recognize the individual. Fingerprint recognition technique is used widely because of its easy use and high accuracy, and it makes great progress and develops adequately in recent years. At present, it is one of recognition technique which owns the highest occupancy ratio in the market of biometric technology and it is also the ripest of them. Although Fingerprint recognition system possesses many commerce products and research productions, it still can't achieve special demands. This paper presents a new way of image processing in the old foundation to break the routine way of describing the characteristic of fingerprint.The especial characteristic of texture image mainly lies on the space-geometry -characteristic of pixels of image. It is a new way of describing fingerprint image's characteristic that using PCNN obtains the ignition-time-sequence-signal's characteristic. After researching, we can find that the capture-ratio sequence not only reflects local image's grey distribution but also includes the space-geometry's characteristic of neighboring pixels of image, so the space-geometry-characteristic of texture in the obtained characteristics are reflected further.