Highly expensive capturing devices and barely existent high-resolution palmprint datasets have slowed the development of forensic palmprint biometric systems in comparison with civilian systems. These issues are addressed in this work. The feasibility of using document scanners as a cheaper option to acquire palmprints for minutiae-based matching systems is explored. A new high-resolution palmprint dataset was established using an industry-standard Green Bit MC517 scanner and an HP Scanjet G4010 document scanner. Furthermore, a new enhancement algorithm to attenuate the negative effect of creases in the process of minutiae extraction is proposed. Experimental results highlight the potentialities of document scanners for forensic applications. Advantages and disadvantages of both technologies are discussed in this context as well.

与民用系统相比，昂贵的捕获设备和几乎不存在的高分辨率掌纹数据集已经减慢了法医掌纹生物识别系统的开发。这些问题在这项工作中得到解决。探索了使用文档扫描仪作为更便宜的选择来获取基于细节的匹配系统的掌纹的可行性。使用行业标准的Green Bit MC517扫描仪和HP Scanjet G4010文档扫描仪建立了一个新的高分辨率掌纹数据集。此外，提出了一种新的增强算法，以减轻细节提取过程中折痕的负面影响。实验结果突出了证件扫描仪在法医应用中的潜力。在此背景下，还将讨论这两种技术的优缺点。