Autosoft Journal

Online Manuscript Access

Gender recognition based on computer vision system


Li-Hong Juang ()*

School of Electrical Engineering and Automation, Xiamen University of Technology, No.600, Ligong Road, Jimei, 360124, P.R.China

Ming-Ni Wu

Department of Information Management, National Taichung University of Technology, Taichung, Taiwan

Shin-An Lin

Department of Information Management, National Taichung University of Technology, Taichung, Taiwan



Detecting human gender from complex background, illumination variations and objects under computer vision system is very difficult but important for an adaptive information service. In this paper, a preliminary design and some experimental results of gender recognition will be presented from the walking movement that utilizes the gait-energy image (GEI) with denoised energy image (DEI) pre-processing as a machine learning support vector machine (SVM) classifier to train and extract its characteristics. The results show that the proposed method can adopt some characteristic values and the accuracy can reach up to 100% gender recognition rate under combining the horizontal added vertical feature and using a normal image size and test data when people are walking at a fixed angle. Meanwhile, it will be able to achieve over 80% rate within some allowed fault-tolerant angle range.



Total Pages: 8
Pages: 249-256


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Volume: 24
Issue: 2
Year: 2018

Cite this document


Chen, Changhong et al. "Frame Difference Energy Image for Gait Recognition with Incomplete Silhouettes." Pattern Recognition Letters 30.11 (2009): 977-984. Crossref. Web.

Golomb B. A. Proc. Conf. Advances in Neural Information Processing Systems

Gunn S. R. Support vector machines for classification and regression

Huang, P. S., C. J. Harris, and M. S. Nixon. "Human Gait Recognition in Canonical Space Using Temporal Templates." IEE Proceedings - Vision, Image, and Signal Processing 146.2 (1999): 93. Crossref. Web.

Jain A. Proc. 6th IEEE Int. Conf. Automatic Face and Gesture Recognition

Kozlowski, Lynn T., and James E. Cutting. "Recognizing the Sex of a Walker from a Dynamic Point-Light Display." Perception & Psychophysics 21.6 (1977): 575-580. Crossref. Web.

Lam, Toby H.W., K.H. Cheung, and James N.K. Liu. "Gait Flow Image: A Silhouette-Based Gait Representation for Human Identification." Pattern Recognition 44.4 (2011): 973-987. Crossref. Web.

Xuelong Li et al. "Gait Components and Their Application to Gender Recognition." IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 38.2 (2008): 145-155. Crossref. Web.

Mather, G., and L. Murdoch. "Gender Discrimination in Biological Motion Displays Based on Dynamic Cues." Proceedings of the Royal Society B: Biological Sciences 258.1353 (1994): 273-279. Crossref. Web.

Sarkar, S. et al. "The humanID Gait Challenge Problem: Data Sets, Performance, and Analysis." IEEE Transactions on Pattern Analysis and Machine Intelligence 27.2 (2005): 162-177. Crossref. Web.

Troje, Nikolaus F. "Decomposing Biological Motion: A Framework for Analysis and Synthesis of Human Gait Patterns." Journal of Vision 2.5 (2002): 2. Crossref. Web.

Liang Wang et al. "Silhouette Analysis-Based Gait Recognition for Human Identification." IEEE Transactions on Pattern Analysis and Machine Intelligence 25.12 (2003): 1505-1518. Crossref. Web.

Xue, Zhaojun et al. "Infrared Gait Recognition Based on Wavelet Transform and Support Vector Machine." Pattern Recognition 43.8 (2010): 2904-2910. Crossref. Web.

Shiqi Yu et al. "A Study on Gait-Based Gender Classification." IEEE Transactions on Image Processing 18.8 (2009): 1905-1910. Crossref. Web.


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
PREVIOUS DOI PREFIX (with T&F): 10.1080/10798587
InCites Journal IMPACT FACTOR (JIF) Data

2018  0.790
2017  0.652
2016  0.644

Scimago Journal and Country Rank (SJR) Data

2018  0.993
2017  0.655
2016  0.660
SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."

Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048