Eye Gaze Detection Based on Learning Automata by Using SURF Descriptor

  • سال انتشار: 1397
  • محل انتشار: فصلنامه سیستم های اطلاعاتی و مخابرات، دوره: 6، شماره: 1
  • کد COI اختصاصی: JR_JIST-6-1_004
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 584
دانلود فایل این مقاله

نویسندگان

Hasan Farsi

Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran

Reza Nasiripour

Department of Electrical and Computer Engineering., University of Birjand, Birjand, Iran

Sajjad Mohammadzadeh

Faculty of technical and engineering of Ferdows, University of Birjand, Birjand, Iran

چکیده

In the last decade, eye gaze detection system has been known as one of the most important area activities in image processing and computer vision. The performance of eye gaze detection system is related to iris detection and recognition (IR). Iris recognition plays very important role for person identification. The aim of this paper is to achieve higher recognition rate compared to learning automata based methods. Usually, iris retrieval based systems consist of several parts including: pre-processing, iris detection, normalization, feature extraction and classification that are captured from eye region. In this paper, a new method without normalization step is proposed. Meanwhile, Speeded up Robust Features (SURF) descriptor is used to extract features of iris images. The descriptor of each iris image creates a vector with 64 dimensions. For classification step, learning automata classifier is applied. The proposed method is tested on three known iris databases; UBIRIS, MMU and UPOL database. The proposed method results in recognition rate of 100% for UBIRIS and UPOL databases and 99.86% for MMU iris database. Also, EER rate of the proposed method for UBIRIS, UPOL and MMU iris database are 0.00%, 0.00% and 0.008%, respectively. Experimental results show that the proposed learning automata classifier results in minimum classification error, and improves precision and computation time.

کلیدواژه ها

Iris Retrieval; SURF; Learning Automata; Feature Extraction; Classification; Biometrics

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.