臺灣博碩士論文加值系統

本論文設計及製作一種居家智慧儲蓄裝置，結合指紋辨識與APP資料庫，達到全家人只需使用一種儲蓄裝置之目的，並利用創新之方法，促進親子關係，父母能以身作則，帶領孩子從小培養儲蓄的好習慣。
使用盛群HT66F70A微控制器作為主控晶片，利用UART控制指紋辨識模組進行身分辨識，透過硬幣分類機構與紅外線感測器實現硬幣識別，並將存/取硬幣的詳細數據透過藍牙傳送至手機APP資料庫，搭配淺顯易懂的顯示介面，使用者能清楚得知目前的儲蓄進度。欲取出硬幣時，此裝置能依照使用者輸入的硬幣數量依序將其推出，省掉許多繁瑣的步驟，提高便利性。父母也能將小孩的零用金透過APP轉帳功能發給孩子，讓父母以創新有趣的方式並結合現代科技實現親子間良好互動，培養孩子正確的儲蓄習慣與理財觀念。

This study designed and developed a smart home piggy bank with fingerprint recognition and an app database. With this product, a whole family wouldn’t need another piggy bank. And the innovation of this product helps to facility parent-child relationships with parents being a role model to guide their children to form a good habit of saving money.
This study adopted the Holtek HT66F70A MCU for control, the UART fingerprint recognition module for identification, and the coin categorization mechanism and the infrared sensors for coin recognition. The detailed data in relation to putting in and taking out coins can be uploaded to the app database over Bluetooth. The interface of the app is friendly and easy to understand. Users can obtain clear information regarding their current saving rates. When users would like to take out some coins, this device can push out coins in order of putting through a convenient process without complex steps. Parents can also give their children pocket money through the money transfer function of the app, to realize good parent-child interactions through an innovative and interesting way combined with modern technology and to teach children the right concepts of saving and financial management.

摘要........i
Abstract........ii
誌謝........iii
目錄........iv
表目錄........vi
圖目錄........vii
第一章 緒論........1
1.1 前言........1
1.2 研究動機與目的........1
1.3 論文架構........2
第二章 文獻探討........3
2.1 紅外線簡介........3
2.2 生物識別簡介........4
2.3 指紋辨識簡介........5
2.4 指紋辨識器種類........6
2.4.1 光學式指紋辨識器........6
2.4.2 電容式指紋辨識器........7
2.4.3 超音波式指紋辨識器........7
2.5 兒童認知發展........8
2.6 父母的金錢教養態度對孩子的影響........9
第三章 研究內容與方法........10
3.1 元件介紹........10
3.1.1 微控制器HT66F70A........10
3.1.2 指紋辨識模組 GTM-5210F52........11
3.1.3 藍牙模組HM-13........13
3.1.4 紅外線感測器........14
3.2 電路架構........15
3.2.1 電源供應........15
3.2.2 LM317穩壓電路........17
3.2.3 邏輯準位轉換電路........18
3.3 程式架構........19
3.3.1 系統程式設計........19
3.3.2 利用I/O模擬UART介面........23
3.4 機構設計........25
3.4.1 硬幣分類與紅外線計數系統........25
3.4.2 退幣機構........27
第四章 實驗結果與討論........30
4.1 指紋辨識成功率測試........31
4.2 硬幣分類機構及紅外線計數系統測試........32
4.3 退幣成功率測試........33
4.4 APP介面說明........34
第五章 結論........47
5.1 結論........47
5.2 未來展望........47
參考文獻........48
EXTENDED ABSTRACT........51

[1]K. Saeed, 2011, “A Note on Problems with Biometrics Methodologies”, International Conference on Biometrics and Kansei Engineering, pp. 20-22, Takamatsu, Kagawa, 19-22 Sept. 2011
[2]謝芳伶，2004，“支援向量機於指紋辨識之應用”，靜宜大學資訊管理學系研究所碩士論文
[3]張勝偉，2011，“指紋特徵合成方法應用於指紋辨識系統之多次按壓建檔程序”，國立清華大學電機工程學系碩士論文
[4]S. Kapre, A. Bhattacharya, 2015, “Confidentiality Storage of Fingerprints by Orientation and Minutiae”, Global Conference on Communication Technologies (GCCT), pp. 739-744, Thuckalay, India, 23-24 April 2015
[5]M. Shehnaz, N. Naveen, 2015, “A Fingerprint Identification Algorithm: Combining Image Enhancement and Chaos Synchronisation Classifier”, International Conference on Control Communication & Computing India (ICCC), pp. 491-494, Trivandrum, India, 19-21 Nov. 2015
[6]S. Lin, B. Yuchen, T. Yonghua, 2016, “Design of Online Non-Contact Palmprint Recognition Simulation System”, 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 686-690, Datong, China, 15-17 Oct. 2016
[7]L. Fei et al., 2019, “Feature Extraction Methods for Palmprint Recognition: A Survey and Evaluation”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.49, no. 2, pp. 346-363, Feb. 2019
[8]S. Lin, T. Xu, X. Yin, 2016, “Region of Interest Extraction for Palmprint and Palm Vein Recognition”, 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 538-542, Datong, China, 15-17 Oct. 2016
[9]S. G. Charan, 2016, “Iris Recognition Using Feature Optimization”, 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), pp. 726-731, Bangalore, India, 21-23 July 2016
[10]R. Saha et al., 2017, “A Brief Study on Evolution of Iris Recognition System”, 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp. 685-688, Vancouver, BC, Canada, 3-5 Oct. 2017
[11]J. Krmar, V. Papic, 2016, “Adaptation of Integrodifferential Operator Using Statistical Characteristics of the Iris Texture”, 24th Telecommunications Forum (TELFOR), pp. 1-4, Belgrade, Serbia, 22-23 Nov. 2016
[12]Z. Waheed, A. Waheed, M. U. Akram, 2016, “A Robust Non-Vascular Retina Recognition System Using Structural Features of Retinal Image”, 13th International Bhurban Conference on Applied Sciences and Technology (IBCAST), pp. 101-105, Islamabad, Pakistan, 12-16 Jan. 2016
[13]S. Haware, A. Barhatte, 2017, “Retina Based Biometric Identification Using SURF and ORB Feature Descriptors”, International Conference on Microelectronic Devices, Circuits and Systems (ICMDCS), pp. 1-6, Vellore, India, 10-12 Aug. 2017
[14]M. S. I. Sameem, T. Qasim, K. Bakhat, 2016, “Real Time Recognition of Human Faces”, International Conference on Open Source Systems & Technologies (ICOSST), pp. 62-65, Lahore, Pakistan, 15-17 Dec. 2016
[15]T. Mantoro, M. A. Ayu, Suhendi, 2018, “Multi-Faces Recognition Process Using Haar Cascades and Eigenface Methods”, 6th International Conference on Multimedia Computing and Systems (ICMCS), pp. 1-5, Rabat, Morocco, 10-12 May 2018
[16]Y. Xue et al., 2016, “Matlab-Based Intelligent Voiceprint Recognition System”, 6th International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC), pp. 303-306, Harbin, China, 21-23 July 2016
[17]Z. Huang et al., 2017, “Study and Implementation of Voiceprint Identity Authentication for Android Mobile Terminal”, 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1-5, Shanghai, China, 14-16 Oct. 2017
[18]B. Rashmi et al., 2016, “A Novel Approach to Signature Verification and Identification”, International Conference on Computer Communication and Informatics (ICCCI), pp. 1-3, Coimbatore, India, 7-9 Jan. 2016
[19]A. Beresneva, A. Epishkina, D. Shingalova, 2018, “Handwritten Signature Attributes for its Verification”, IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), pp. 1477-1480, Moscow, Russia, 29 Jan.-1 Feb. 2018
[20]Q. Gao, D. Pinto, 2016, “Some Challenges in Forensic Fingerprint Classification and Interpretation”, IEEE Long Island Systems, Applications and Technology Conference (LISAT), pp. 1-7, Farmingdale, NY, USA, 29-29 April 2016
[21]E. Sano et al., 2006, “Fingerprint Authentication Using Optical Characteristics in a Finger”, SICE-ICASE International Joint Conference, pp. 1774-1777, Busan, South Korea, 18-21 Oct. 2006
[22]Y. Baek, 2016, “Robust Optical Fingerprint Sensor to Moisture Fingerprints”, International SoC Design Conference (ISOCC), pp. 189-190, Jeju, South Korea, 23-26 Oct. 2016
[23]H. Hassan, H. Kim, S. Ibrahim, 2018, “Design of Configurable CMOS Capacitive Fingerprint”, International Conference on Microelectronics (ICM), pp. 327-330, Sousse, Tunisia, 16-19 Dec. 2018
[24]Y. E. Jeon et al., 2016, “Capacitive Sensor Array for Fingerprint Recognition”, International Conference on Sensing Technology (ICST), pp. 1-4, Nanjing, China, 11-13 Nov. 2016
[25]H. Ma et al., 2016, “On-Display Transparent Half-Diamond Pattern Capacitive Fingerprint Sensor Compatible with AMOLED Display”, IEEE Sensors Journal, vol. 16, no. 22, pp. 8124-8131, 01 Sept. 2016
[26]H. Tang et al., 2016, “3-D Ultrasonic Fingerprint Sensor-on-a-Chip”, IEEE Journal of Solid-State Circuits, vol. 51, no. 11, pp. 2522-2533, 28 Sept. 2016
[27]X. Jiang et al., 2017, “Ultrasonic Fingerprint Sensor with Transmit Beamforming Based on a PMUT Array Bonded to CMOS Circuitry”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 64, no. 9, pp. 1401-1408, 11 May 2017
[28]J. C. Kuo et al., 2017, “64-Pixel Solid State CMOS Compatible Ultrasonic Fingerprint Reader”, IEEE 30th International Conference on Micro Electro Mechanical Systems (MEMS), pp. 9-12, Las Vegas, NV, USA, 28 Feb. 2017
[29]張春興，2013，“教育心理學－三化取向的理論與實踐”，東華出版社，台北
[30]鍾佳樺，2015，“探討桃園市中壢區中年級學童的金錢態度、消費行為及儲蓄習慣之關係”，玄奘大學企業管理學系碩士在職專班碩士論文
[31]D.Forrest, 1990, “Further Developmental Stages of the Interest in Money”, The American Journal of Psychoanalysis, vol. 50, no. 4, pp. 319-335, Dec. 1990
[32]A. Bucciol, V. Marcella, 2014, “Teaching Children to Save: What is the Best Strategy for Lifetime Savings?”, Journal of Economic Psychology, vol 45, pp. 1-17, Dec. 2014
[33]鐘志從，洪淑蘭，趙威，1999，“幼兒的金錢概念、金錢使用能力及其父母金錢教養之影響”，家政教育學報，2卷，頁90~110