Because of high restriction on False Reject Rate, False Accept Rate, computational time cost and template size, fingerprint verification is a challenging task.
由于对拒真率、认假率、比对时间、模板占用空间等指标都有较严格的要求,指纹验证是一项复杂且具有挑战性的任务。
Experiment results show that ENESPS can obtain shorter averaged searching length in comparison with other methods and it can reduce the computational time of color quantization remarkably.
实验结果表明,相对于其他一些搜索方法,ENESPS能有效缩短平均搜索长度,并明显减少色彩量化所需的计算时间。
To reduce the computational time, the speed of quasi-static loading is increased.
为了减少计算时间,采取了提高准静态加载速度的方法。
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