Configurable Pipelined Gabor Filter Implementation for Fingerprint Image Enhancement

摘要：

In this paper a novel Gabor filter hardware scheme for the fingerprint image enhancement is presented. For each pixel of the image, we use accurate local frequency and orientation to generate the corresponding convolution kernel and thus achieve a better enhancement effect. And compared to the previous works, our design yields a higher throughput which is due to the pipeline techniques. Moreover the proposed design can be reconfigured to fulfill the different requirements. Evaluation results demonstrate that, when convolution kernel size is 11×11, our design can achieve 2MPixels/s @ 250MHz, and equivalent gate count is 63.8k at SMIC 0.13um worst process corner. Indeed, its very suitable for the embedded fingerprint recognition system.

作者: Jun-bao Liu Shuai Wang Yi Li Jun Han Xiao-yang Zeng

作者单位: State Key Lab of ASIC and System, Fudan University, Shanghai 201203, China

会议类型: 国际会议

会议名称: 2010 10th IEEE International Conference on Solid-State and Integrated Circuit Technology(第十届固态和集成电路技术国际会议 ICSICT-2010)

会议地点: 上海

会议语种:英文

页码: 584-586

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）