Abstract
Pre-Processing Image Algorithm for Fingerprint Recognition and its Implementation on DSP TMS320C6416
Highlights
The Real time image processing is always in high demand for many applications used in security system, remote sensing, manufacturing process and multimedia, those require to have high performance. [1]In the information time, security authentication is essential to human society
In order to highlight the importance of image preprocessing we have considered a database based on a hundred images captured by different types of sensors, in the first place we tried to go directly to the stage filtering without making any changes to the images, we extracted the useful information from each fingerprint, and we passed to the authentication phase
The advantage of biometric identification is that each individual has his or her own physical characteristics that can not be changed, lost or stolen
Summary
The Real time image processing is always in high demand for many applications used in security system, remote sensing, manufacturing process and multimedia, those require to have high performance. [1]. Fingerprint recognition is a method to identify a person, based on the physiological characteristics of the finger This technology is the oldest biometric technology, but still it is most widely used because it provides good levels of accuracy and simplicity. Fingerprint recognition algorithms are diverse and are based on different techniques in order to extract useful information from the input image. Sensors embedded in fingerprint recognition systems are diverse and based on several technologies, noting for example: CCD sensors: they have been used in cameras for over 30 years and have many advantages. They still offer a slightly higher sensitivity to light than CMOS sensors and produce a little less noise. We first present the image pre-processing procedure in order to improve and facilitate the extraction of biometric data, and we focused on the physical implementation of the system
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