Volume 10, Issue 35 And 36 (4-2018)
فصلنامه فناوری اطلاعات 2018, 10(35 And 36): 43-56 |
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Air-writing Recognition of Farsi Digits based on Depth Image. فصلنامه فناوری اطلاعات. 2018; 10 (35 and 36) :43-56
URL: http://jor.iranaict.ir/article-1-1480-en.html
URL: http://jor.iranaict.ir/article-1-1480-en.html
Abstract: (125 Views)
Recognition of hand writing on paper, on display or on air is an important challenge in computer vision. Air-writing recocognition is especially difficult due to three dimentionality of space. In this research work the aim is recognizing persian digits which are written in air in front of a Kineckt sensor using a fingertip and the sensor can detect the digit using its depth image. For hand and fingertip segmentation we use K-means algorithm. To extract the features we use a novel method called slope variation detection, and to classify the features Hidden Markov Models (HMM) is used. Recognition rate of Persian digits using a local database with 10 times mutual validation is 96%. This novel method was compared with some other similar methods in the literature . The results confirm relative priority of the proposed method.
Type of Study: Research |
Subject:
Multimedia
Received: 2019/12/9 | Accepted: 2020/01/22 | Published: 2020/04/22
Received: 2019/12/9 | Accepted: 2020/01/22 | Published: 2020/04/22
