Hiroshi Sako* received the B.E. and M.E. degrees in mechanical
engineering from Waseda University, Tokyo, Japan, in 1975 and 1977,
respectively, and the Dr. Eng. degree in computer science from the University
of Tokyo, in 1992.
From 1977 to 2011, he worked for Hitachi, Ltd. Since April in 2011, he has been a professor of the Graduate School of Computer and Information Sciences, Hosei University, Japan and a visiting researcher at University of Ulster, UK, as well.
From 1977 to 1992, he worked in the field of industrial machine vision at the Central Research Laboratory of Hitachi, Ltd., Tokyo, Japan (HCRL). From 1992 to 1995, he was a Senior Research Scientist at Hitachi Dublin Laboratory, Ireland, where he did research in facial and hand gesture recognition. From 1996 to 2009, he was a Chief Researcher at the HCRL where he directed research groups of character recognition and image recognition. From 2009 to 2011, he was a senior manager of the global R&D operation office in the R&D Headquarter, Hitachi Ltd. During 1998 to 2011, he has been also a Visiting Professor at the Japan Advanced Institute of Science and Technology, Hokuriku Postgraduate University.
His current research interest includes machine vision, character recognition, pattern recognition, and their application including computational forensics. He was a recipient of the 1988 Best Paper Award from the Institute of Electronics, Information, and Communication Engineers (IEICE) of Japan and the 1994 Industrial Paper Award from 12th IAPR International Conference on Pattern Recognition, Jerusalem, Israel, and in 2009 he won the Okochi Memorial Technology Prize for the contribution to the development of overseas cash-recycling automated teller machines. He has authored around 70 technical papers and 100 patents in the area of pattern recognition, image processing and neural networks. He is a member of the editorial boards of journals including Pattern Recognition Letters.
Dr. Sako is a Fellow of the IEEE Computer Society, a Fellow of the International Association for Pattern Recognition (IAPR), and a Fellow of the IEICE of Japan, and he is a member of the Japanese Society for Artificial Intelligence, the Information Processing Society of Japan, and the Hitachi Henjin-kai.
*Note: Dr. Hiroshi Sako used to write his family name in a few different alphabetical Romanized expressions until around 1992 in order to approximate his Japanese surname phonetically. These include “Sakou” and “Sakow”, but he is presently using “Sako” as its the best approximation.
[Publication
list]
１．Journal
papers (peer-reviewed)
1) 嶋 好博，柏岡誠治，酒匂 裕，鈴木邦夫，“高密度基板への電子部品搭載のための自動位置検出方式”，電子通信学会論文誌D，vol.J68-D，no.12，pp.
2141-2151，1985.
2) 酒匂 裕，依田晴夫，江尻正員，“実時間半導体ウェハ外観検査アルゴリズム”，電子通信学会論文誌D，vol.J69-D，no.11，pp.
1687-1696，1986.
3) 酒匂 裕，依田晴夫，江尻正員，“赤外発光ダイオードの発光パターン外観検査アルゴリズム”，電気学会論文誌C，vol.107-C，no.8，pp.
737-744，1987.
4) 酒匂 裕，宮武孝文，嶋 好博，柏岡誠治，江尻正員，“特徴パターンの分布に着目した位置認識のアルゴリズム”，電子通信学会論文誌D，vol.J71-D，no.7，pp.
1258-1266，1988.
5) 酒匂 裕，依田晴夫，江尻正員，“多重解像度表現を用いた変形波形の照合アルゴリズム”，電子通信学会論文誌D，vol.J71-D，no.11，pp.
2311-2318，1988.
6) H. Sakou, T. Miyatake, S. Kashioka, and M. Ejiri, "A
Position Recognition Algorithm for Semiconductor Alignment Based on Structural
Pattern Matching, " IEEE Trans. Acoust., Speech, Signal Processing,
vol.ASSP-37, no.12, pp.2148-2157, 1989.
7) M. Ejiri, H. Yoda, H.Sakou, and Y. Sakamoto,
"Knowledge-Directed Inspection for Complex Multilayered Patterns,"
Machine Vision and Applications, vol. 2, no. 3, pp.155-166, 1989.
8) 酒匂 裕，松島 整，江尻正員，“自己組織多重解像度フィルタによるテクスチャ識別”，電子通信学会論文誌D-II，vol.J73-D-II，no.4，pp.
562-573，1990.
9) M. Abe, H. Sakou, and H. Sagawa, "Sign Language Translation
Based on Syntactic and Semantic Analysis," Trans.IEICE of Japan, vol.
J76-DII, no. 9, pp. 2023-2030, 1993. (English translation in “System and
Computers in Japan, vol. 25, No. 6, 1994, Script Technica, Inc.”)
10) 角本 繁，酒匂 裕，“画像処理による計測と認識
-図面認識と外観検査への応用-”，テレビジョン学会誌，vol.46，no.11，pp.1448-1453，1992.
11) 佐川浩彦，酒匂 裕，大平栄二，崎山朝子，阿部正博：“圧縮連続ＤＰ照合を用いた手話認識方式”，電子情報通信学会論文誌D-II，vol.J77-D-II，no.4，pp.753-763，1994.
12) H. Sako and H. I. Avi-Itzhak, "A Neurocomputing to the
Correspondence Problem in Computer Vision," IEICE Trans. Information and
Systems, vol. E77-D, no. 4, pp. 507-515, 1994.
13) A. Smith and H. Sako, "A Hardware Implementation of a
Neural Networks Using the Parallel Propagated Targets Algorithm," IEICE
Trans. Information and Systems, vol. E77-D, no. 4, pp. 516-527, 1994.
14) S. Kakizaki, P. Horan, A. Arimoto, H. Sako, A. Saito, and F.
Kugiya, "Optical Implementation of a Translation-Invariant Second-order
Neural Network for Multiple-pattern Classification," Applied Optics, vol.
33, no. 35, pp. 8270-8280, 1994.
15) 目瀬道弘，酒匂裕，上田博唯，宮武孝文，江尻正員：“紙幣パターンの向き不変型識別手法”，電子情報通信学会論文誌D-II，vol.J78-D-II，no.5，pp.765-775，1995.
16) C. -L. Liu, H. Sako, and H. Fujisawa, "Performance
evaluation of pattern classifiers for handwritten character recognition",
International Journal of Document Analysis and Recognition, vol. 4, no. 3, pp.
191-204, 2002.
17) H. Ikeda, N. Furukawa, M. Koga, H. Sako, and H. Fujisawa,
"A Context-free Grammar-based Language Model for String Recognition",
International Journal of Computer Processing of Oriental Languages, vol. 15,
no. 2, pp. 149-163, 2002.
18) 古賀昌史，嶺 竜治，安江 司，酒匂 裕，藤澤浩道，“チェックライタ金額文字列認識の一手法”，電子情報通信学会論文誌D-II，vol.J86-D-II，no.6，pp.836-845，2003.
19) 古賀昌史，嶺 竜治，酒匂 裕，藤澤浩道，“トライ辞書を用いた語彙情報駆動型の印刷地名単語列認識方式”，電子情報通信学会論文誌D-II，vol.J86-D-II，no.9，pp.1297-1307，2003.
20) T. Kagehiro, M. Koga, H. Sako, and H. Fujisawa,
"Segmentation of Handwritten Kanji Numerals Integrating Features by
Bayesian Rule," IEICE Trans. Information and Systems, vol. J86-D-II, no.
11, pp. 1556-1564, 2003. (in Japanese).
21) C. -L. Liu, K. Nakashima, H. Sako, and H. Fujisawa,
"Handwritten digit recognition: benchmarking of state-of-the-art
Techniques," Pattern Recognition, 36, pp. 2271-2285, 2003.
22) C. -L. Liu, K. Nakashima, H. Sako, and H. Fujisawa,
"Handwritten digit recognition: investigation of normalization and feature
extraction techniques," Pattern Recognition, 37, pp. 265-279, 2004.
23) C. -L. Liu, H. Sako, and H. Fujisawa, "Discriminative
learning quadratic discriminant function for handwriting recognition,"
IEEE Trans. on Neural Networks, vol. 15, no. 2, pp. 430-444, 2004.
24) C. -L. Liu, H. Hao, and H. Sako, "Confidence
transformation for combining classifiers," Pattern Analysis and
Applications, no.7, pp. 2-17 2004.
25) C. -L. Liu, H. Sako, and H. Fujisawa, "Effects of
Classifier Structures and Training Regimes on Integrated Segmentation and
Recognition of Handwritten Numeral Strings," IEEE Trans. on Pattern
Analysis Machine Intelligence, vol. 26, no. 11, pp. 1395-1407, 2004.
26) C. -L. Liu, H. Hao, H. Sako, and H. Fujisawa, "Handwritten
Numeral String Recognition: Effects of Character Normalization and Feature
Extraction, " IEICE Trans. Information and Systems, vol. E88-D, no. 8, pp.
1791-1798, 2005 (in Japanese).
27) C. -L. Liu and H. Sako, "Class-specific feature polynomial
classifier for pattern classification and its application to handwritten
numeral recognition," Pattern Recognition, 39, pp. 669-681, 2006.
28) T. Kagehiro, H. Nagayoshi, and H. Sako, "A Hierarchical
Classification Method for US Bank-Notes, " IEICE Trans. Information and
Systems, vol. E89-D, no. 7, pp. 2061-2067, 2006. (in Japanese).
29) 嶺 竜治，古賀昌史，酒匂 裕，”N-Gram言語統計量を併用した島駆動型文字列認識方式，”信学論
(D-II)，vol.
J89-D-II，no. 5，pp.
1011-1018，May
2006.
30) H. Nagayoshi, Y. Hiramatsu, H. Sako, M. Himaga, and S. Kato,
“Detection of fundus lesions using classifier selection,” IEICE Transactions on
Information and Systems, vol. 92, no. 5, pp. 1168-1176, 2009
31) 永吉洋登，渡邊高志，矢住和行，酒匂裕，”振込め詐欺防止のための携帯電話利用者検知，” 信学論
(D-II) ， (投稿中)
2. Conference/Workshop papers (peer-reviewed)
1) 依田晴夫，酒匂 裕，江尻正員，浜本信男，石田博行，工藤和雄：“設計デ―タ参照を特徴とする半導体ウェア自動外観検査装置WISE-550”，日本非破壊検査協会，第一回産業における画像センシング技術シンポジウム，10-5，pp.
351-356，1986．
2) H. Sakou, H. Yoda, and M. Ejiri, "An algorithm for matching
distorted waveforms using a scale-based description," Proc. IAPR Workshop
on CV -Special hardware and industrial applications-, pp. 329-334, 1988.
3) H. Sakou, H. Matsushima, and M. Ejiri, "Texture
Discrimination Using An Adaptive Multiresolution Network Filter," Proc.
IAPR Workshop on Machine Vision Applications (MVA '90), pp. 257-261, 1990.
4) D. Uecker and H. Sakou, "Point Pattern Matching Using A
Hopfield-type Neural Network," Proc. International Joint Conference on
Neural Networks (IJCNN '90), pp. II499-452, 1990.
5) H. Sakou and H. I. Avi-Itzahak, "Neural Computation Methods
for the Point Correspondence Problem," Proc. International Joint
Conference on Neural Networks (IJCNN '91), pp. II A931-934, 1991.
6) H. Sagawa, H. Sakou, and M. Abe, "Sing Language Translation
System Using Continuous DP Matching," Proc. IAPR Workshop on Machine
Vision Applications (MVA '92), pp. 339-342, 1992.
7) H. Sakou, "Optimisation of the Distance-Based Neural
Network by Akaike's Information Criterion," Proc. Int. Conf. on Artificial Neural Networks (ICANN '92),
pp. 1127-1133, 1992.
8) H. Sako and H. I. Avi-Itzhak, "A Connectionist Approach to
the Correspondence Problem in Computer Vision," Proc. International Workshop on Aritificial Neural Networks
(IWANN '93), pp. 620-625, 1993.
9) H. Sako and A. Smith, "Parallel Propagated Targets: A Fully
Parallel Digital Implementation for Multi-Layered Perceptron Networks,"
Proc. World Congress on Neural Networks (WCNN '93), pp. III 548-551, 1993.
10) H. Sako, M. Whitehouse, A. Smith, and A. Sutherland,
"Real-Time Facial-Feature Tracking Based on Matching Techniques and its
Applications" Proc. Int. Conf. on Pattern Recognition (ICPR '94), pp.
320-324, 1994.
11) H. Sako, "Pattern Identification using
Line-Codebooks," Proc. IEEE World Congress on Computational Intelligence
and IEEE Conference on Neutal Networks (WCCI '94) (ICNN '94), pp. 174-179,
1994.
12) A. Smith, M. Whitehouse, and H. Sako, "Mouth shape
recognition using hour-glass neural networks," Proc. 4th Int. Conf. on
visual search, Eindhoven, The Netherlands, 1994.
13) A. Sutherland, A. Smith, and H. Sako, "Real-time
eye-tracking using pipeline architecture," Proc. 4th Int. Conf. on visual
search, Eindhoven, The Netherlands, 1994.
14) H. Sako and A. Smith, "Real-time Facial Expression
Recognition Based on Feature Position and Dimension," Proc. Int. Conf. on
Pattern Recognition (ICPR '96), pp. 643-648, 1996.
15) M. Koga, T. Kagehiro, H. Sako, and H. Fujisawa,
"Segmentation of Japanese Handwritten Characters Using Peripheral Feature
Analysis," Proc. 14th Int. Conf. on Pattern Recognition (ICPR ’98), pp.
1137-1141, 1998.
16) T. Kagehiro, M. Koga, H. Sako, and H. Fujisawa,
"Segmentation of Handwritten Kanji Numerals Integrating Peripheral
Information by Bayesian Rule," Proc. IAPR Workshop on Machine Vision
Applications (MVA '98), pp. 439-442, 1998.
17) M. Koga, R. Mine, H. Sako, and H. Fujisawa, "Lexical
Search Approach for Character-String Recognition," Proc. IAPR Workshop on
Document Analysis Systems (DAS '98), pp. 237-251, 1998.
18) H. Fujisawa, H. Ogata, M. Koga, and H. Sako, "On the
Framework of Information Integration in Document Recognition," Proc. IAPR
Workshop on Document Analysis Systems (DAS '98), pp. 129-132, 1998.
19) H. Sako, "Recognition and Synthesis of Facial and Hand
Expression", Proc. Int. Conf. on Imaging Science, System, and Technology,
pp. 210-217, 1998.
20) H. Ogata, Y. Ueda, K. Marukawa, H. Sako, and H. Fujisawa,
"A Method for Street Number Matching in Japanese Address
Recognition", Proc. 5th Int. Conf. on Document Analysis and Recognition
(ICDAR '99), pp. 321-324, 1999.
21) H. Ikeda, Y. Ogawa, M. Koga, H. Nishimura, H. Sako, and H.
Fujisawa, "A Recognition Method for Touching Japanese Handwritten
Characters", Proc. 5th Int. Conf. on Document Analysis and Recognition
(ICDAR '99), pp. 641-644, 1999.
22) H. Fujisawa, H. Sako, Y. Okada, and S-W. Lee, "Information
Capturing Camera and Developmental Issues," Proc. 5th Int. Conf. on
Document Analysis and Recognition (ICDAR '99), pp. 205-208, 1999.
23) H. Fujisawa, M. Koga, H. Ogata, T. Kagehiro, and H. Sako,
"Recognition Strategies for Japanese Mailpiece Recipient Addresses,"
Proc. 2nd IEEE Int. Conf. on Multimodal Interface (ICMI '99), pp. III69-74,
1999.
24) H. Sako, T. Kagehiro, and H. Fujisawa, "On the Rejection
Ability Required in Multi-Hypothesis Techniques," Proc. 7th International
Workshop on Frontiers in Handwriting Recognition (IWFHR-7), pp. 123-132, 2000.
25) H. Ikeda, N. Furukawa, M. Koga, H. Sako, and H. Fujisawa,
"A Context-Free Grammar Based Language Model for Document
Understanding," Proc. IAPR Workshop on Document Analysis Systems (DAS
2000), pp. 135-146, 2000.
26) M. Ejiri, T. Miyatake, H. Sako, A. Nagasaka, and S. Nagaya,
"Evolution of Real-time Image Processing in Practical Applications,"
Proc. IAPR Workshop on Machine Vision Applications (MVA 2000), pp. 177-186,
2000.
27) C. -L. Liu, M. Koga, H. Sako and H. Fujisawa, "Aspect
Ratio Adaptive Normalization for Handwritten Character Recognition," Proc.
3rd Int. Conf. on Multimodel Interfaces (ICMI 2000), pp. 418-425, 2000.
28) M. Koga,
R. Mine, H. Sako, and H. Fujisawa, "A recognition method of the printed
amount of money based on the two dimensional segmentation and the bottom up
parsing," Proc. Int. Conf. on Document Analysis and Recognition (ICDAR
2001), pp. 968-971, 2001.
29) H. Shinjo, E. Hadano, K. Marukawa, Y. Shima, and H. Sako,
"A Recursive Analysis for Form Cell Recognition," Proc. Int. Conf. on
Document Analysis and Recognition (ICDAR 2001), pp. 694-698, 2001.
30) H. Sako, M. Fujio, and N. Furukawa, "The Constellation
Matching and Its Application," Proc. Int. Conf. on Image Processing, pp.
790-793, 2001.
31) H. Sako, N. Furukawa, M. Fujio, and S. Watanabe, "Document-Form
Identification using Constellation Matching of Keywords Abstracted by Character
Recognition," Proc. IAPR Workshop on Document Analysis Systems (DAS 2002),
pp. 261-271, 2002.
32) C. -L. Liu, H. Sako, and H. Fujisawa, "Learning Quadratic
Discriminant Function for Handwritten Character Recognition," Proc. 16th
Int. Conf. on Pattern Recognition (ICPR 2002), vol.IV, pp. 44-47, 2002.
33) C. -L. Liu, K. Nakashima, H. Sako, and H. Fujisawa,
"Handwritten Digit Recognition Using State-of-the-Art Techniques,"
Proc. Eighth International Workshop on Frontiers in Handwriting Recognition
(IWFHR-8), pp. 320-325, 2002.
34) C. -L. Liu, H. Sako, and H. Fujisawa, "Integrated
Segmentation and Recognition of Handwritten Numerals: Comparison of
Classification Algorithms," Proc. Eighth International Workshop on
Frontiers in Handwriting Recognition (IWFHR-8), pp. 303-308, 2002.
35) H. Hao, C. -L. Liu, and H. Sako, "Comparison of Genetic
Algorithm and Sequential Search Methods for Classifier Subset Selection,"
Proc. Int. Conf. on Document Analysis and Recognition (ICDAR 2003), pp.
765-769, 2003.
36) H. Hao, C. -L. Liu, and H. Sako, "Confidence Evaluation
for Combining Diverse Classifiers," Proc. Int. Conf. on Document Analysis
and Recognition (ICDAR 2003), pp. 760-764, 2003.
37) C. -L. Liu, H. Sako, and H. Fujisawa, "Handwritten Chinese
Character Recognition: Alternatives to Nonlinear Normalization," Proc.
Int. Conf. on Document Analysis and Recognition (ICDAR 2003), pp. 524-528,
2003.
38) H. Sako, M. Seki, N. Furukawa, H. Ikeda, and A. Imaizumi,
"Form Reading based on Form-type Identification and Form-data
Recognition," Proc. Int. Conf. on Document Analysis and Recognition (ICDAR
2003), pp. 926-930, 2003.
39) H. Ogata, S. Watanabe, A. Imaizumi, T. Yasue, N. Furukawa, H.
Sako, and H. Fujisawa, "Form-type identification for banking applications
and its implementation issues," Proc. SPIE-IS&T Electronic Imaging,
SPIE vol. 5010, pp. 208-218, 2003.
40) H. Fujisawa and H. Sako, "Balance between Optimistic
Planning and Pessimistic Planning in a Mission Critical Project," Proc.
IEEE Int. Conf. on Engineering Management (IEMC2003), pp. 605-609, 2003.
41) T. Kagehiro, M. Koga, H. Sako, and H. Fujisawa,
"Address-Block Extraction by Bayesian Rule," Proc. 17th Int. Conf. on
Pattern Recognition (ICPR 2004), CD-ROM, 2004.
42) H. Sako and T.
Miyatake, " Image-Recognition Technologies towards Advanced Automated
Teller Machines," Proc. 17th Int. Conf. on Pattern Recognition (ICPR
2004), CD-ROM, 2004.
43) N. Furukawa, H. Ikeda, Y. Kato, and H. Sako, " D-Pen: A Digital Pen System
for Public and Business Enterprises," Proc. ninth International Workshop
on Frontiers in Handwriting Recognition (IWFHR-9), CD-ROM, 2004.
44) H. Sako and A. Hiroike, "Visualisation for ‘glance-over’
Browsing in Document Retrieval," Proc. Irish Machine Vision and Image
Processing COnference (IMVIP '05), pp. 183-185, 2005
45) T. Kagehiro, H. Nagayoshi, and H. Sako, "A Hierarchical
Classification Method for US Bank Notes, " Proc. IAPR Workshop on Machine
Vision Applications (MVA '05), pp. 206-209, 2005.
46) T. Nagasaki, K. Marukawa, T. Kagehiro, and H. Sako, "A
Coupon Classification Method Based on Adaptive Image Vector Matching,"
Proc. 18th Int. Conf. on Pattern Recognition (ICPR 2006), CD-ROM, 2006.
47) H. Nagayoshi, Y. Hiramatsu, H. Sako, M. Himaga and S. Kato,
"Detection of Fundus Lesions Using Classifier Selection," Proc. IAPR
Conference on Machine Vision Applications (MVA '07), pp. 286-290, 2007.
48) Kazuto Kimura, Takayuki Nagai, Hiroto Nagayoshi and Hiroshi
Sako, "Simultaneous Estimation of Super-resolved Image and 3D Information
Using Multiple Stereo-Pair Images", IEEE International Conference on Image
Processing 2007 (ICIP2007), Vol.V, pp.417-420, Sep.2007
49) H. Sako,
T. Watanabe, H. Nagayoshi and T. Kagehiro, "Self-Defense-Technologies for
Automated Teller Machines", International Machine Vision and Image
Processing Conference 2007 (IMVIP2007), 2007
50) L. Xu, H. Nagayoshi, and H. Sako, "Kanji character
detection from complex real scene images based on character properties, "
Proc. of IAPR International Workshop on Document Analysis Systems (DAS2008),
pp. 278-285, 2008
51) T. Watanabe, H. Nagayoshi and H. Sako, "A Display
Technique for Preventing Electromagnetic Eavesdropping Using Color Mixture
Characteristic of Human Eyes", Information Hiding 2008 (IH2008), pp.1-14,
LNCS 5284, Springer, 2008
52) 渡邊 高志, 永吉 洋登, 酒匂 裕, 上村敏朗,
"知覚上の継時混色特性を利用したTEMPEST対策方式",
2009 Symposium on Cryptography and Information Security (SCIS2009), 3A4-4, 2009
53) H. Nagayoshi, T. Watanabe, T. Kagehiro, H. Ogata, T. Yasue, and
H. Sako, "Detection of a hand holding a cellular phone using multiple
image features, " Proc. of International Conference on Image Analysis and
Processing (ICIAP2009), p. 151-160, 2009
54) T. Watanabe, H. Nagayoshi, H. Sako and T. Uemura,
"Synchronization Clock Frequency Modulation Technique for Compromising
Emanations Security", 2009 International Symposium on Electromagnetic
Compatibility (EMC '09/Kyoto), 2009
55) T. Watanabe, H. Nagayoshi, H. Sako, T. Urano and T. Uemura,
"Countermeasure for Electromagnetic Screen Image Leakage Based on Color
Mixing in Human Brain", IEEE International Symposium on Electromagnetic
Compatibility (EMC2010), 2010
3. Invited papers and books
1) 加藤寛治，上田博唯，柏岡誠治，酒匂 裕，小畑 修，“電子部品検査向きの小型画像処理装置SBIP”，日立評論，vol.9，no.67，pp.
71-74，1985.
2) 酒匂 裕，江尻正員，“産業応用における画像理解技術の現状”，人工知能学会誌，vol.4，no.1，pp.
43-51，1988.
(招待論文)
3) 酒匂 裕：“産業応用におけるパターン認識技術の現状”，システム制御情報学会、インテリジェントＦＡ研究分科会、第29研究例会資料，No.90-3，
pp.9-17，1990.
(招待論文)
4) 酒匂 裕，“画像認識” 電子通信通信学会編ディジタル信号処理ハンドブック（オーム社），第４編２章５節，pp.
40-44，1992.
5) H. Sako, "Digital Media Technologies that Support
e-Society," Proc. National Workshop on Computer Vision and Pattern
Recognition (Korea Information Science Society), pp. 279-308, 2002. (Invited
Talk)
6) H. Sako,
"Recognition Strategies in Machine Vision Applications,"
International Machine Vision and Image Processing Conference 2007 (IMVIP2007),
2007 (Invited Talk)
7) H. Sako, "Technologies for developing an advanced
intelligent ATM with self-defence capabilities," Proc. SPIE, Document
Recognition & Retrieval, Vol. 7534, 75340E, 2010. (Invited Paper)
4. Patents
Number of patents: 103 (as of 2010)
Examples of US patents：
1) US4435835: “Method and device for detecting the position of an
object,” Inventor: Sakow, Hiroshi; Kashioka, Seiji, Assignee: Hitachi, Ltd.,
Japan, Application Number: US1981000247073
2) US4491962: “Method of determining an optimum threshold for
obtaining binary image signal for use in a pattern recognition system,”
Inventor: Sakou, Hiroshi; Kashioka, Seiji, Assignee: Hitachi, Ltd., Japan,
Application Number: US1982000361479
3) US5259038:
“Point pattern matching method and system as well as picture recognizing method
and system using the same,” Inventor: Sakou, Hiroshi; Uecker, Darrin R.,
Assignee: Hatachi, Ltd., Japan, Application Number: US1990000595099
4) US5448651: “Texture discrimination method,” Inventor: Sakou,
Hiroshi; Matsushima, Hitoshi, Assignee: Hitachi, Ltd., Japan, Application
Number: US1994000267552
5) US5689575: “Method and apparatus for processing images of facial
expressions,” Inventor: Sako, Hiroshi; Smith, Anthony; Whitehouse, Mark, Assignee:
Hitachi, Ltd., Japan, Application Number: US1994000346164