Human Verification System Based on Gait Recognition using Active Horizontal Levels (AHL) Feature | ||||
| The International Conference on Electrical Engineering | ||||
| Article 106, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Page 1-13 PDF (437.77 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2010.33277 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Manhal Saleh Al-Mohammad1; Gouda I. Salama2; Tarek A. Mahmoud2; Osama F. Saleh3 | ||||
| 1Syrian Armed Forces. | ||||
| 2Egyptian Armed Forces. | ||||
| 3Cairo Higher Institute for Engineering, Computer Science and Management. | ||||
| Abstract | ||||
| Abstract: Nowadays, Gait is a crucial field for many Pattern Recognition researchers. It is considered as a good way for biometric authentication in many surveillance systems. The most important issue in gait recognition is the features extraction from the silhouettes which are converted from walkers’ images or videos. In this paper a new method has been introduced to identify night walker images, which are captured by infrared cameras. The new method depends on the silhouette’s presence percentage on different horizontal levels. Minimum distance classifier has been used to choose the active horizontal levels that lead to the highest identification rate. A proposed algorithm which is used to select the Active Horizontal Levels (AHLs) has been presented. The proposed method was evaluated against CASIA silhouette database, to recognize walker into one, or multi silhouettes. The experimental results reveal the effectiveness of our new method against other Gait recognition methods to achieve a better recognition rate. | ||||
| Keywords | ||||
| Feature Extraction; Gait recognition; Biometric authentication; Active Horizontal Level | ||||
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