نتایج جستجو برای: recognition visual identification neural networks image processing

تعداد نتایج: 2148446  

A Najlerahim B No’doust G Tarighat Saber R Nilipour S Clarke

The human auditory cortex is the gateway to the most powerful and complex communication systems and yet relatively little is known about its functional organization as compared to the visual system. Several lines of evidence, predominantly from recent studies, indicate that sound recognition and sound localization are processed in two at least partially independent networks. Evidence from human...

One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...

Journal: :Indian Scientific Journal Of Research In Engineering And Management 2023

In our world, there are above 11000 bird species. Some species being found rarely. Bird identification is a challenging task that usually leads to unclear labelling. When presented picture of bird, even professional watchers differ on the Despite having same basic components across all species, form and appearance can vary greatly. Intraclass variance substantial due variations in lighting back...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شاهد - دانشکده فنی و مهندسی 1387

abstract biometric access control is an automatic system that intelligently provides the access of special actions to predefined individuals. it may use one or more unique features of humans, like fingerprint, iris, gesture, 2d and 3d face images. 2d face image is one of the important features with useful and reliable information for recognition of individuals and systems based on this ...

Journal: :بینا 0
امین­اله مه­آبادی a mahabadi تهران- خیابان کارگر شمالی- پلاک 117- مرکز تحقیقات مهندسی و فن آوری دانشگاه شاهد اصغر میرزایی a mirzaei تهران- خیابان کارگر شمالی- پلاک 117- مرکز تحقیقات مهندسی و فن آوری دانشگاه شاهد

purpose: to present a new reliable and accurate iris recognition method applicable in identification systems. methods: the system was implemented and tested on 876 standard iris images (daugman iris images database) from 876 persons of different nationalities via image processing techniques. results: false accept reject (far) and false reject reject (frr) were smaller in our suggested method as...

2009
Youssef ELMIR Zakaria ELBERRICHI Reda ADJOUDJ

this work is released in biometric field and has as goal, development of a full automatic fingerprint identification system. Promising Results of first experiences using radial basis function neural network and support vector machine pushed us to continue the exploitation of new version of neural networks which is spike neural networks and to develop codification and recognition algorithms whic...

Journal: :CoRR 2013
V. Karthikeyan

Character identification plays a vital role in the contemporary world of Image processing. It can solve many composite problems and makes human’s work easier. An instance is Handwritten Character detection. Handwritten recognition is not a novel expertise, but it has not gained community notice until Now. The eventual aim of designing Handwritten Character recognition structure with an accurate...

Journal: :International Journal of Computer Applications 2013

2013
Bharat Bhushan Simranjot Singh Ruchi Singla

License plate recognition is a fully automated real time technique that has been widely used for identification, theft control and security validation of vehicles. For recognition and extraction of desired regions of the number plate of the vehicle, different algorithms are used. An image processing technology based on license plate recognition (LPR) that is being used to identify vehicles, usi...

2008
MARZUKI KHALID EILEEN LEW YI LEE RUBIYAH YUSOF

Tropical rainforest has more than 3,000 different types of timber species. According to the Forest Research Institute of Malaysia, out of these about 200 species are being used by the timber industry. Among the major timber consumers are housing developers, wood fabricators and furniture manufacturers where the need for recognition of wood species is necessary. Automatic wood recognition has no...

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