Non-Visual Document Recognition for Blind Reading Assistant System

[[abstract]]As time goes on, a huge mass of progressive knowledge is developed and then the e-book is built for paper reduction and environmental protection. Therefore, many historical documents over the past don’t exist. Research on blind reading aid device is a popular topic gradually, but there are some drawbacks on these methods. For example, electronic documents of many old dated of historical documents don’t read because format should be limited to e-document. Users can’t read any specified region of the document as he wishes. A novel blind reading aid device is proposed without e-document and the user only need to point the document with his finger. This system is composed of third parts. First, we use rectangle detection method to catch the region for document under the Microsoft Kinect. Next, dilation method and projection profile methods are used in order to execrate text and constructed coordinate database. Finally, skin detection, BEA method and depth image of Microsoft Kinect can get the coordinates of user’s finger when user wishes to read the document, and then match with constructed coordinate database to get the character. Then system output is obtained via text to speech.[[notice]]補正完畢[[journaltype]]國外[[conferencetype]]國際[[conferencedate]]20130618~20130620[[ispeerreviewed]]Y[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]Jeju Island, Republic of Korea[[countrycodes]]KO

Perancangan Aplikasi Pembaca warna sebgai alat bantu penderita buta warna berbasis andrioid

ABSTRAKSI: Buta warna adalah kelainan penglihatan yang berhubungan dengan ketidak mampuan mata untuk membedakan warna tertentu. Penderita buta warna bukan lah orang yang tidak bisa melihat warna melainkan orang yang sulit dalam membedakan warna. Buta warna trikomasi adalah jenis buta warna yang sulit membedakan warna merah, hijau dan biru. Dengan adanya perangkat android menghasilkan ide untuk membuat aplikasi yang dapat membantu para penderita buta warna dalam membedakan warna merah, hijau dan biru.Dengan adanya perangkat mobile dan android yang disematkan bersamaan dengan pola imageprocessing maka akan membatu para penderita buta warna agar mampu membedakkan warna dengan benar dengan bantuan text dan voice. Pada Proyek akhir ini telah dirancang aplikasi pembaca warna untuk penderita buta warna berbasis android.Aplikasi sistem ini menampilkan hasil dari capture image yang diambil kemudian masuk ke sistem android dan keluarannya berupa text dan voice. Adapun hasil yang diperoleh dari proyek akhir ini, yaitu tingkat akurasi total sistem 85% dengan waktu komputasi 6,67 detik. KATA KUNCI: image processing, android, mobile, smartphone, buta warnaABSTRACT: Color blindness is a vision disorder that is associated with the inability of the eye to distinguish certain colors. People with color blindness is not the person who can not see colors, but the colors are difficult to distinguish. Trikomasi color blind is a type of color blindness is difficult to distinguish the colors red, green and blue. With the android device we can generate an applications that can help people with color blindness to distinguish the colors red, green and blue. With the mobile and android devices are pinned together with the pattern of the image processing will help the color blind people to be able to distinguishcolors correctly. At this final project has been designed an application for color detection for color blind people based on android. This application system will showing captured image and then get in to the android system and the output of the system are text and voice. The result of this final project, there are : a total accuracy rate of 85% system with 6.67 seconds of computing time. KEYWORD: image processing, android, mobile, smartphones, color blindnes

Multiuser detection in CDMA using blind techniques

Thesis (Master)--Izmir Institute of Technology, Electronics and Communication Engineering, Izmir, 2004Includes bibliographical references (leaves: 63-65)Text in English; Abstract: Turkish and Englishxiv, 69 leavesIn code division multiple access (CDMA) systems, blind multiuser detection (MUD) techniques are of great importance, especially for downlinks, since in practice, it may be unrealistic for a mobile user to know the spreading codes of other active users in the channel. Furthermore, blind methods remove the need for training sequences which leads to a gain in the channel bandwidth. Subspace concept in blind MUD is an alternative process to classical and batch blind MUD techniques based on principle component analysis, or independent component analysis (ICA) and ICA-like algorithms, such as joint approximate diagonalization of eigen-matrices (JADE), blind source separation algorithm with reference system, etc. Briefly, the desired signal is searched in the signal subspace instead of the whole space, in this type of detectors. A variation of the subspace-based MUD is reduced-rank MUD in which a smaller subspace of the signal subspace is tracked where the desired signal is contained in. This latter method leads to a performance gain compared to a standard subspace method. In this thesis, blind signal subspace and reduced-rank MUD techniques are investigated, and applied to minimum mean square error (MMSE) detectors with two different iterative subspace tracking algorithms. The performances of these detectors are compared in different scenarios for additive white Gaussian noise and for multipath fading channels as well. With simulation results the superiority of the reduced-rank detector to the signal subspace detector is shown. Additionally, as a new remark for both detectors, it is shown that, using minimum description length criterion in subspace tracking algorithm results in an increase in rank-tracking ability and correspondingly in the final performance. Finally, the performances of these two detectors are compared with MMSE, adaptive MMSE and JADE detectors

Pictures in Your Mind: Using Interactive Gesture-Controlled Reliefs to Explore Art

Tactile reliefs offer many benefits over the more classic raised line drawings or tactile diagrams, as depth, 3D shape, and surface textures are directly perceivable. Although often created for blind and visually impaired (BVI) people, a wider range of people may benefit from such multimodal material. However, some reliefs are still difficult to understand without proper guidance or accompanying verbal descriptions, hindering autonomous exploration. In this work, we present a gesture-controlled interactive audio guide (IAG) based on recent low-cost depth cameras that can be operated directly with the hands on relief surfaces during tactile exploration. The interactively explorable, location-dependent verbal and captioned descriptions promise rapid tactile accessibility to 2.5D spatial information in a home or education setting, to online resources, or as a kiosk installation at public places. We present a working prototype, discuss design decisions, and present the results of two evaluation studies: the first with 13 BVI test users and the second follow-up study with 14 test users across a wide range of people with differences and difficulties associated with perception, memory, cognition, and communication. The participant-led research method of this latter study prompted new, significant and innovative developments