Titlebook: Recent Trends in Image Processing and Pattern Recognition; Second International K. C. Santosh,Ravindra S. Hegadi Conference proceedings 201

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Siamese Network for Learning Genuine and Forged Offline Signature Verificationormation. Embedding vector is generated by Siamese network and to make embedding vector more robust we propose to add statistical measures to it, which are calculated on the embedding vector itself. The contrastive loss function is then applied on the resultant embedding vector.

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Multi-scale Local Binary Patterns- A Novel Feature Extraction Technique for Offline Signature Verifi a multi resolution (scale) feature vector. Support Vector Machine (SVM) is a well known classifier employed to classify the signature samples. Experimental results on standard datasets like CEDAR and a regional language datasets shows the proposed technique’s performance. A comparative analysis wit

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Ekush: A Multipurpose and Multitype Comprehensive Database for Online Off-Line Bangla Handwritten Chllected include verity of the district, age group and the equal number of male and female. It is intended to fabricate acknowledgment technique for hadn written Bangla characters. This dataset is unreservedly accessible for any sort of scholarly research work. The Ekush dataset is trained and valida

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Reader System for Transliterate Handwritten Bilingual Documentssifier gives 82.85% recognition accuracy using Histogram of Oriented Gradient method. The dataset containing 4390 words collected from more than 100 writers. The second phase focuses on digitization and transliteration of recognized words and conversion of transliterated text into speech, which is u

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Hyperlipidemia

Thanh-Ha Do,Thi Minh Huyen Nguyen,K. C. Santosheure der Energiewirtschaft, etwa Mitarbeiter von Energieversorgern, Stadtwerken, Netzbetreibern oder Energiehändlern, ebenso wie an die neuen Akteure, also Betreiber von regenerativen Energieanlagen, Energiedie978-3-658-09851-3978-3-658-09852-0

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Ramesh R. Naik,Maheshkumar B. Landge,C. Namrata Mahendereure der Energiewirtschaft, etwa Mitarbeiter von Energieversorgern, Stadtwerken, Netzbetreibern oder Energiehändlern, ebenso wie an die neuen Akteure, also Betreiber von regenerativen Energieanlagen, Energiedie978-3-658-09851-3978-3-658-09852-0