摘要
皮紋心理學是結合皮紋學、遺傳學、心理學與腦神經學等科學，藉由人體手指表皮上的脊紋型態，研究大腦分佈與遺傳性格特點的一門科學，而皮紋檢測則是建立於此科學理論之上所衍伸出來的產業，針對每個人十指指紋進行採樣分析，估測受測者大腦發展與皮質層狀態之分佈情形，分析出個人的先天風格與遺傳差異，進而了解受測者的最優發展方向與空間，如人格特質、學科系及創業等選擇及培養。 目前皮紋檢測業者主要以油墨或指紋辨識器採樣受測者之指紋影像，再以人工方式進行指紋特徵圈選、計算總脊紋數與分類指紋紋型，最後分析結論給予受測者，傳統檢測分析的方式不僅步驟多耗時長，且指紋影像脊紋密集不易觀察計算。因此，本研究藉由影像辨識技術設計並建置一套「智慧型皮紋辨識系統」，透過受測者指紋影像，自動辨識受測者之指紋紋型與總脊紋數，其紋型分類平均準確率為90.4%、總脊紋數計算平均準確率為80.4%。本系統可提供皮紋檢測業者自動取得受測者指紋資訊，改善整體作業流程。
並列摘要
Dermatoglyphics psychology is a science that combines dermatoglyphics, genetics, psychology and brain neurology, and it studies the characteristics of brain distribution and genetic personality through the ridge patterns on the fingers. Dermatoglyphic detection is an industry derived from this scientific theory. It samples each person's ten-fingerprints to estimate the distribution of the subjects’ brain development and cortical layer status, so as to analyze the individual's innate style and genetic differences, and further understand the optimal development direction and space of the subjects, such as personality traits, as well as choices and training in disciplines and entrepreneurship. At present, practitioners of dermatoglyphic detection mainly use ink or fingerprint recognizer to sample the fingerprint images of the subjects, and then perform manual to select the fingerprint features, calculate the Total Ridge Count (TRC) and classify fingerprint patterns, and finally give the test result to the subjects. Traditional methods of detection and analysis are time-consuming and have too many steps. The ridges of the fingerprint image are intensive and it is difficult to observe and calculate. Therefore, this study designed and built “An Intelligent Dermatoglyphics Recognition System” through the image recognition technology. It automatically recognizes the fingerprint pattern and the TRC of the subjects through the fingerprint image. This recognition system has an average accuracy of 90.4% for the fingerprint pattern classification and an average accuracy of 80.4% for the TRC. This system can help the practitioners of dermatoglyphics detection to automatically obtain the fingerprint information of the subjects, and improve the overall operation procedure.