<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-LJTO5R2C</identifier><date>2018</date><creator>Farou, Brahim</creator><creator>Merabti, Hocine</creator><creator>Seridi, Hamid</creator><relation>documents/doc/L/URN_NBN_SI_doc-LJTO5R2C_001.pdf</relation><relation>documents/doc/L/URN_NBN_SI_doc-LJTO5R2C_001.txt</relation><format format_type="issue">1</format><format format_type="volume">42</format><format format_type="type">article</format><format format_type="extent">str. 95-106</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="COBISSID_HOST">31324967</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-LJTO5R2C</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>InC</rights><subject language_type_id="eng">computer science</subject><subject language_type_id="slv">OCR</subject><subject language_type_id="slv">optično prepoznavanje znakov</subject><subject language_type_id="slv">prepoznavanje vzorcev</subject><subject language_type_id="slv">računalništvo</subject><subject language_type_id="slv">umetna inteligenca</subject><title>A segmentation-recognition approach with a fuzzy-artificial immune system for unconstrained handwritten connected digits</title></Record>